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https://api.github.com/repos/langchain-ai/langchain/issues/7068 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7068/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7068/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7068/events | https://github.com/langchain-ai/langchain/pull/7068 | 1,785,574,682 | PR_kwDOIPDwls5UfnMm | 7,068 | Adding Marqo to vectorstore ecosystem | {
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"followers_url": "https:... | null | 15 | 2023-07-03T08:00:21 | 2023-07-05T21:44:14 | 2023-07-05T21:44:13 | CONTRIBUTOR | null | This PR brings in a vectorstore interface for [Marqo](https://www.marqo.ai/).
The Marqo vectorstore exposes some of Marqo's functionality in addition the the VectorStore base class. The Marqo vectorstore also makes the embedding parameter optional because inference for embeddings is an inherent part of Marqo.
Doc... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7067 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7067/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7067/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7067/events | https://github.com/langchain-ai/langchain/issues/7067 | 1,785,526,295 | I_kwDOIPDwls5qbPgX | 7,067 | Issue:IndexError: list index out of range | {
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... | open | false | null | [] | null | 7 | 2023-07-03T07:33:27 | 2023-11-21T00:32:16 | null | NONE | null | ### System Info
langchain-0.0.221
python-3.10.11
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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https://api.github.com/repos/langchain-ai/langchain/issues/7066 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7066/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7066/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7066/events | https://github.com/langchain-ai/langchain/issues/7066 | 1,785,402,763 | I_kwDOIPDwls5qaxWL | 7,066 | Conversationalbuffermemory to maintain chathistory | {
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... | closed | false | null | [] | null | 1 | 2023-07-03T06:05:30 | 2023-10-09T16:05:40 | 2023-10-09T16:05:40 | NONE | null | ### Issue you'd like to raise.
I am using Conversationalbuffermemory to maintain chathistory here is my code i dont know why my chathistory not working properly if any update required in my code please let me know I am using this code in my api
class Chatbot:
def __init__(self):
self.model = "gpt-3.5... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7065 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7065/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7065/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7065/events | https://github.com/langchain-ai/langchain/issues/7065 | 1,785,310,309 | I_kwDOIPDwls5qaaxl | 7,065 | Use JSON format prompt | {
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"description": "A large net-new component, integration, or chain. Use sparing... | closed | false | null | [] | null | 5 | 2023-07-03T04:47:47 | 2023-10-10T01:06:44 | 2023-10-10T01:06:34 | NONE | null | ### Feature request
I find it is quite useful when using JSON format prompt.
Unfortunately, I cannot pass JSON format prompt to langchain.
### Motivation
Here is prompt example, which gives detail instruction on how the GPT should response to the student.
Could you please support the JSON format prompt in th... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7064 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7064/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7064/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7064/events | https://github.com/langchain-ai/langchain/issues/7064 | 1,785,284,378 | I_kwDOIPDwls5qaUca | 7,064 | DOC: Multiple callback handlers | {
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Example no longer working (key not found in dict) due to api changes: https://python.langchain.com/docs/modules/callbacks/how_to/multiple_callbacks
### Idea or request for content:
Corrected Serialization in several places:
from typing import Dict, Union, Any, List
from la... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7063 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7063/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7063/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7063/events | https://github.com/langchain-ai/langchain/issues/7063 | 1,785,264,664 | I_kwDOIPDwls5qaPoY | 7,063 | MultiQueryRetriever broken on master and needs tests | {
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... | closed | false | null | [] | null | 0 | 2023-07-03T04:00:32 | 2023-07-04T05:09:35 | 2023-07-04T05:09:35 | COLLABORATOR | null | ### System Info
v0.0.221
### Who can help?
@vowelparrot
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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- [ ] Document Loaders
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https://api.github.com/repos/langchain-ai/langchain/issues/7062 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7062/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7062/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7062/events | https://github.com/langchain-ai/langchain/issues/7062 | 1,785,264,380 | I_kwDOIPDwls5qaPj8 | 7,062 | OpenAIChat(streaming=True) donot work | {
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... | closed | false | null | [] | null | 2 | 2023-07-03T04:00:09 | 2023-11-16T16:07:11 | 2023-11-16T16:07:10 | NONE | null | ### System Info
index = VectorstoreIndexCreator(vectorstore_cls=DocArrayInMemorySearch, embedding=embeddings)
index = index.from_loaders([PyMuPDFLoader('孙子兵法.pdf')])
query = '孙子兵法的战略'
index.query(llm=OpenAIChat(streaming=True), question=query, chain_type="stuff")
### Who can help?
_No response_
### Information
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https://api.github.com/repos/langchain-ai/langchain/issues/7061 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7061/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7061/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7061/events | https://github.com/langchain-ai/langchain/issues/7061 | 1,785,201,120 | I_kwDOIPDwls5qaAHg | 7,061 | OPENAI_FUNCTIONS Agent Memory won't work inside of Streamlit st.chat_input element | {
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... | closed | false | null | [] | null | 10 | 2023-07-03T03:11:16 | 2023-12-20T16:07:28 | 2023-12-20T16:07:27 | NONE | null | ### System Info
langchain = 0.0.218
python = 3.11.4
### Who can help?
@hwchase17 , @agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
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https://api.github.com/repos/langchain-ai/langchain/issues/7060 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7060/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7060/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7060/events | https://github.com/langchain-ai/langchain/issues/7060 | 1,785,200,414 | I_kwDOIPDwls5qZ_8e | 7,060 | The memory did not record the full input message, it only record the input parameter values | {
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... | closed | false | null | [] | null | 1 | 2023-07-03T03:10:39 | 2023-10-09T16:05:55 | 2023-10-09T16:05:55 | NONE | null | ### System Info
Langchina: 0.0.221,
OS: WSL
Python 3.11
### Who can help?
The memory did not record the full input message, it only record the input parameter values
Below is a simple code to use the default ConversationBufferMemory.
++++++++++++++++++++++++++
llm = conn.connecting.get_model_azureopenai()
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https://api.github.com/repos/langchain-ai/langchain/issues/7059 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7059/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7059/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7059/events | https://github.com/langchain-ai/langchain/issues/7059 | 1,785,176,797 | I_kwDOIPDwls5qZ6Ld | 7,059 | Chain.run() without any param will cause error | {
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... | closed | false | null | [] | null | 3 | 2023-07-03T02:43:11 | 2023-11-29T16:09:09 | 2023-11-29T16:09:09 | NONE | null | ### System Info
Langchain 0.0.221
WSL
Python 3.11
###
If design a very simple chain which do not need any input parameters. Then run it, it will throw error. I think this without any input params may be useful.
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langchain==0.0.221
langchainplus-sdk==0.0.19
Windows 10
### Who can help?
@dev2049 @homanp
### Information
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- [ ] My own modified scripts
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- [ ] LLMs/Chat Models
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`ConversationBufferTokenMemory` should have a simple way of returning the conversation messages as a string.
Previously to complete this, you would only have the option to return memory as an array through the buffer method and call `get_buffer_string` by importing it from `langchain.schema`, or us... | {
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Langchain version 0.0.221
Anthropic versions 0.3.1 and 0.3.2
Whenever using ChatAnthropic, this now appears. Version 0.2.10 works, but the below error appears since the Anthropic update a couple of days ago
`Anthropic.__init__() got an unexpected keyword argument 'api_url' (type=type_error)`
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langchain: 0.0.221
python:3.10.2
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_No response_
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- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
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... | closed | false | null | [] | null | 3 | 2023-07-02T17:04:55 | 2023-10-09T16:06:01 | 2023-10-09T16:06:00 | NONE | null | ### System Info
langchain Version: 0.0.220
python 3.9.16
Windows 11/ ubuntu 22.04
anaconda
### Who can help?
@agola11 When ingesting the attched file (I'm attaching a zip as .pkl cannot be updated) in a normal document splitting loop
```python
embeddings = OpenAIEmbeddings()
chunk_sizes = [512, 1024, 1536]
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Issue: [#6034](https://github.com/hwchase17/langchain/issues/6034)
Dependencies: aioresponses is added for test.
Tag maintainer: Async: @agola11
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- Issue: SQLDatabaseChain cannot be loaded(#6889),
- Dependencies: none,
- Tag maintainer: @dev2049 ,
- Twitter handle: we announce bigger features on Twitter. If your... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7046 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7046/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7046/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7046/events | https://github.com/langchain-ai/langchain/pull/7046 | 1,784,658,716 | PR_kwDOIPDwls5UcezU | 7,046 | Fixed Office365 tool __init__.py files, tests, and get_tools() function | {
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... | closed | false | null | [] | null | 4 | 2023-07-02T14:04:03 | 2023-07-05T19:46:23 | 2023-07-05T19:46:22 | CONTRIBUTOR | null | ## Description
Added Office365 tool modules to `__init__.py` files
## Issue
As described in Issue https://github.com/hwchase17/langchain/issues/6936, the Office365 toolkit can't be loaded easily because it is not included in the `__init__.py` files.
## Reviewer
@dev2049 | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7044 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7044/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7044/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7044/events | https://github.com/langchain-ai/langchain/issues/7044 | 1,784,612,945 | I_kwDOIPDwls5qXwhR | 7,044 | Chain support missing variable | {
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... | closed | false | null | [] | null | 8 | 2023-07-02T12:16:49 | 2023-10-19T16:06:48 | 2023-10-19T16:06:47 | NONE | null | ### Feature request
The LLM chain strictly validates all input variables against placeholders in the template. It will throw an error if they don't match. I wish it could handle missing variables, thus making the prompt template more flexible.
```python
def _validate_inputs(self, inputs: Dict[str, Any]) -> None:... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7043 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7043/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7043/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7043/events | https://github.com/langchain-ai/langchain/issues/7043 | 1,784,594,777 | I_kwDOIPDwls5qXsFZ | 7,043 | Map_reduce not adapted to the 16k model 😲😥 | {
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... | closed | false | null | [] | null | 2 | 2023-07-02T11:30:01 | 2023-10-08T16:05:26 | 2023-10-08T16:05:25 | NONE | null | ### System Info
LangChain==0.0.177
Python==3.10
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7042 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7042/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7042/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7042/events | https://github.com/langchain-ai/langchain/issues/7042 | 1,784,502,508 | I_kwDOIPDwls5qXVjs | 7,042 | ClientSession._request() got an unexpected keyword argument 'verify' | {
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... | closed | false | null | [] | null | 4 | 2023-07-02T07:29:01 | 2023-09-17T18:22:23 | 2023-07-02T10:41:24 | NONE | null | ### System Info
PYTHON: 3.11.4
LANGCHAIN: 0.0.220
FLATFORM: WINDOWS
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7041 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7041/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7041/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7041/events | https://github.com/langchain-ai/langchain/issues/7041 | 1,784,492,675 | I_kwDOIPDwls5qXTKD | 7,041 | Issue: Conditioning planner with custom instructions in Plan-And-Execute models | {
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Can Plan-And-Execute models be conditioned to plan in particular directions instead of doing the planning alone? Say I'd like the planning to take place differently and the LLM always decides on an exhaustive manner
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7040 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7040/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7040/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7040/events | https://github.com/langchain-ai/langchain/issues/7040 | 1,784,492,025 | I_kwDOIPDwls5qXS_5 | 7,040 | Issue: Nested agents | {
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Can we nest agents in one another? I would like an agent to use a set of tools + an LLM to extract entities, and then another agent after this should use some other tools + LLM to refine them.
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7039 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7039/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7039/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7039/events | https://github.com/langchain-ai/langchain/issues/7039 | 1,784,491,423 | I_kwDOIPDwls5qXS2f | 7,039 | Issue: Doubt on STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION | {
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... | closed | false | null | [] | null | 2 | 2023-07-02T06:54:27 | 2023-11-29T16:09:14 | 2023-11-29T16:09:13 | NONE | null | ### Issue you'd like to raise.
Can we reuse intermediate steps for an agent defined using STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION?
This is my definition:
```
agent_executor = initialize_agent(
tools,
llm,
agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,
verbose=True,
retur... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7038 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7038/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7038/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7038/events | https://github.com/langchain-ai/langchain/issues/7038 | 1,784,490,903 | I_kwDOIPDwls5qXSuX | 7,038 | Issue: LLMSingleActionAgent vs STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION | {
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Is there a difference between these two agent types? Where should one use either of them?
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7037 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7037/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7037/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7037/events | https://github.com/langchain-ai/langchain/issues/7037 | 1,784,472,838 | I_kwDOIPDwls5qXOUG | 7,037 | TypeError: issubclass() arg 1 must be a class (importing AsyncCallbackHandler) | {
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... | closed | false | null | [] | null | 2 | 2023-07-02T06:04:32 | 2023-10-09T16:06:06 | 2023-10-09T16:06:05 | NONE | null | ### System Info
Using the latest version of langchain (0.0.220).
### Who can help?
@hwchase17 @agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7036 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7036/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7036/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7036/events | https://github.com/langchain-ai/langchain/issues/7036 | 1,784,467,107 | I_kwDOIPDwls5qXM6j | 7,036 | Agent for MongoDB | {
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I was skimming through the repository for the MongoDB Agent and I discovered that it does not exist. Is it feasible to develop a MongoDB agent that establishes a connection with MongoDB, generates MongoDB queries based on given questions, and retrieves the corresponding data?
### Motivation
Withi... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7035 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7035/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7035/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7035/events | https://github.com/langchain-ai/langchain/issues/7035 | 1,784,455,921 | I_kwDOIPDwls5qXKLx | 7,035 | SelfQueryRetriever not working in async call | {
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... | closed | false | null | [] | null | 1 | 2023-07-02T05:17:42 | 2023-10-08T16:05:40 | 2023-10-08T16:05:39 | NONE | null | ### Issue you'd like to raise.
I want to chain the ```SelfQueryRetriever``` with ```ConversationalRetrievalChain``` and stream the output. I tested it in synchronous function it's working. However, when I convert it to async function, it pauses there and the execution never ended, no output as well. I went through t... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7034 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7034/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7034/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7034/events | https://github.com/langchain-ai/langchain/issues/7034 | 1,784,312,865 | I_kwDOIPDwls5qWnQh | 7,034 | Loading online PDFs gives temporary file path as source in metadata | {
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... | closed | false | null | [] | null | 4 | 2023-07-01T23:24:53 | 2023-11-29T20:07:47 | 2023-11-29T20:07:47 | NONE | null | Hi,
first up, thank you for making langchain! I was playing around a little and found a minor issue with loading online PDFs, and would like to start contributing to langchain maybe by fixing this.
### System Info
langchain 0.0.220, google collab, python 3.10
### Who can help?
_No response_
### Infor... | {
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... | closed | false | null | [] | null | 3 | 2023-07-01T19:11:08 | 2023-07-06T13:37:06 | 2023-07-06T13:37:04 | COLLABORATOR | null | + change to ABC - this lets us add things like the evaluation name for loading | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7032 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7032/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7032/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7032/events | https://github.com/langchain-ai/langchain/pull/7032 | 1,784,154,684 | PR_kwDOIPDwls5UazR1 | 7,032 | Self hosted llm api | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7030 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7030/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7030/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7030/events | https://github.com/langchain-ai/langchain/pull/7030 | 1,784,148,090 | PR_kwDOIPDwls5Uax0Y | 7,030 | Accept no 'reasoning' response in qa evaluator | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7028 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7028/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7028/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7028/events | https://github.com/langchain-ai/langchain/pull/7028 | 1,784,137,734 | PR_kwDOIPDwls5Uavl_ | 7,028 | Fix docs | {
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Replace this comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/7027 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7027/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7027/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7027/events | https://github.com/langchain-ai/langchain/issues/7027 | 1,784,135,218 | I_kwDOIPDwls5qV74y | 7,027 | Probabilistic Language of Thought (PLoT) Agent Implementation | {
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## Summary
Implement a new type of Langchain agent that reasons using a PLoT architecture as described in this paper:
https://arxiv.org/abs/2306.12672
## Notes
* Such an agent would need to use a probabilistic programming language (the paper above used Church) to generate code that descri... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7026 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7026/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7026/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7026/events | https://github.com/langchain-ai/langchain/pull/7026 | 1,784,109,945 | PR_kwDOIPDwls5UapoE | 7,026 | Fixes incorrect docstore creation in faiss.py | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7025 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7025/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7025/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7025/events | https://github.com/langchain-ai/langchain/pull/7025 | 1,784,079,160 | PR_kwDOIPDwls5Uaixh | 7,025 | Harrison/split schema dir | {
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... | closed | false | null | [] | null | 1 | 2023-07-01T16:47:39 | 2023-07-01T17:39:20 | 2023-07-01T17:39:19 | COLLABORATOR | null | should be no functional changes
also keep __init__ exposing a lot for backwards compat | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7024 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7024/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7024/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7024/events | https://github.com/langchain-ai/langchain/issues/7024 | 1,784,075,187 | I_kwDOIPDwls5qVtOz | 7,024 | OutputParserException: Could not parse LLM output: `df = [] for i in range(len(df)):` | {
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... | closed | false | null | [] | null | 1 | 2023-07-01T16:41:37 | 2023-10-07T16:05:02 | 2023-10-07T16:05:02 | NONE | null | ### System Info
OutputParserException: Could not parse LLM output: `df = [] for i in range(len(df)):`
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Pro... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7023 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7023/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7023/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7023/events | https://github.com/langchain-ai/langchain/pull/7023 | 1,784,072,280 | PR_kwDOIPDwls5UahQV | 7,023 | Fix typo | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7022 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7022/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7022/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7022/events | https://github.com/langchain-ai/langchain/pull/7022 | 1,784,058,856 | PR_kwDOIPDwls5UaePc | 7,022 | Rename Databerry to Chaindesk | {
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Replace this comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
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https://api.github.com/repos/langchain-ai/langchain/issues/7021 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7021/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7021/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7021/events | https://github.com/langchain-ai/langchain/pull/7021 | 1,784,042,187 | PR_kwDOIPDwls5UaaiS | 7,021 | fix(pipeline prompt): support PipelinePrompt format missing varable | {
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... | closed | false | null | [] | null | 3 | 2023-07-01T15:57:39 | 2023-11-07T03:48:53 | 2023-11-07T03:48:52 | NONE | null | Replace this comment with:
- Description: fixed the bug where PipelinePromptTemplate throws an error when input variable is missing,
- Issue: the issue #7016 it fixes (if applicable),
- Dependencies: none
- Tag maintainer: @dev2049
- Twitter handle:
<!-- Thank you for contributing to LangChain!
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https://api.github.com/repos/langchain-ai/langchain/issues/7020 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7020/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7020/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7020/events | https://github.com/langchain-ai/langchain/pull/7020 | 1,784,032,576 | PR_kwDOIPDwls5UaYUC | 7,020 | added customizable pipeline tool | {
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added a pipeline tool consisting multiple steps that makes tool/chain reuse easier.
with more generic tools reused by domain task tools, metadata-driven agent-tool chain loading will be easier.
## Dependencies
None
## Maintainer
- Agents / Tools / Toolkits: @vowelparrot
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https://api.github.com/repos/langchain-ai/langchain/issues/7019 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7019/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7019/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7019/events | https://github.com/langchain-ai/langchain/issues/7019 | 1,784,012,562 | I_kwDOIPDwls5qVd8S | 7,019 | Could not import sentence_transformers python package. | {
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... | closed | false | null | [] | null | 5 | 2023-07-01T15:22:37 | 2023-08-10T08:22:31 | 2023-07-03T03:57:14 | NONE | null | ### System Info
```
langchain: latest as of yesterday
M2 Pro
16 GB
Macosx
Darwin UAVALOS-M-NR30 22.5.0 Darwin Kernel Version 22.5.0: Thu Jun 8 22:22:23 PDT 2023; root:xnu-8796.121.3~7/RELEASE_ARM64_T6020 arm64
Python 3.10.10
GNU Make 3.81
Apple clang version 14.0.3 (clang-1403.0.22... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7018 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7018/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7018/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7018/events | https://github.com/langchain-ai/langchain/issues/7018 | 1,783,981,699 | I_kwDOIPDwls5qVWaD | 7,018 | jinja2 formate suppot trim_blocks mode | {
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... | closed | false | null | [] | null | 1 | 2023-07-01T14:43:22 | 2023-10-07T16:05:07 | 2023-10-07T16:05:06 | NONE | null | ### Feature request
when i use jinja2 template， i get the following the problem
template:
```
{% if a %}\n
{{a}}\n
{% endif %}\n
{{b}}
```
and i pass b variable to template render,then the output like this
```
\n
b
```
Each variable placeholder is followed by a '\n'.
Since a is not passed in, and '\n' ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7017 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7017/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7017/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7017/events | https://github.com/langchain-ai/langchain/pull/7017 | 1,783,923,053 | PR_kwDOIPDwls5UZ_7i | 7,017 | Second Attempt - Add concurrent insertion of vector rows in the Cassandra Vector Store | {
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@rlancemartin doing a fresh new PR from a branch with a new name. This should do. Thank you for your help! | {
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... | closed | false | null | [] | null | 6 | 2023-07-01T13:16:11 | 2023-10-12T16:07:57 | 2023-10-12T16:07:56 | NONE | null | ### Feature request
the following is part of the format code for PipelinePromptTemplate
```python
def _get_inputs(inputs: dict, input_variables: List[str]) -> dict:
return {k: inputs[k] for k in input_variables}
class PipelinePromptTemplate(BasePromptTemplate):
....
def format_prompt(self, **kwargs: Any... | {
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"followers_url": "https:... | null | 5 | 2023-07-01T11:43:32 | 2023-07-07T20:08:28 | 2023-07-07T17:28:18 | CONTRIBUTOR | null | Continuing with Tolkien inspired series of langchain tools. I bring to you:
**The Fellowship of the Vectors**, AKA EmbeddingsClusteringFilter.
This document filter uses embeddings to group vectors together into clusters, then allows you to pick an arbitrary number of documents vector based on proximity to the cluster... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7014 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7014/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7014/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7014/events | https://github.com/langchain-ai/langchain/pull/7014 | 1,783,782,521 | PR_kwDOIPDwls5UZg-2 | 7,014 | Support params on GoogleSearchApiWrapper (#6810) | {
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"url... | closed | false | null | [] | null | 1 | 2023-07-01T10:23:48 | 2023-07-02T07:18:39 | 2023-07-02T07:18:38 | CONTRIBUTOR | null | ## Description
Support search params in GoogleSearchApiWrapper's result call, for the extra filtering on search,
to support extra query parameters that google cse provides:
https://developers.google.com/custom-search/v1/reference/rest/v1/cse/list?hl=ko
## Issue
#6810
## Dependencies
None
## Maintainer
@... | {
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... | closed | false | null | [] | null | 1 | 2023-07-01T08:58:08 | 2023-07-02T17:24:12 | 2023-07-02T14:22:25 | COLLABORATOR | null | Doesn't actually limit the Retriever interface but hopefully in practice it does | {
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Replace this comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below)... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7011 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7011/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7011/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7011/events | https://github.com/langchain-ai/langchain/issues/7011 | 1,783,681,691 | I_kwDOIPDwls5qUNKb | 7,011 | How to save embeddings when using Agent for local document Q&A to avoid unnecessary waste by rereading API calls to generate embeddings | {
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... | closed | false | null | [] | null | 1 | 2023-07-01T08:31:43 | 2023-10-07T16:05:17 | 2023-10-07T16:05:17 | NONE | null | Attach my code
```
llm = OpenAI(model_name='gpt-4', temperature=0)
embeddings = OpenAIEmbeddings(model='text-embedding-ada-002')
docs = TextLoader("state_of_the_union.txt").load()
text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
texts = text_splitter.split_documents(docs)
state_of_unio... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7010 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7010/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7010/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7010/events | https://github.com/langchain-ai/langchain/issues/7010 | 1,783,670,404 | I_kwDOIPDwls5qUKaE | 7,010 | How to add memory with` create_vectorstore_agent` | {
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There is such a step in it
I want to implement the same ste... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7009 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7009/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7009/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7009/events | https://github.com/langchain-ai/langchain/issues/7009 | 1,783,632,265 | I_kwDOIPDwls5qUBGJ | 7,009 | python tool issue: NameError: name 're' is not defined | {
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... | closed | false | null | [] | null | 2 | 2023-07-01T07:39:21 | 2023-10-07T16:05:28 | 2023-10-07T16:05:28 | NONE | null | ### System Info
I am using a create_pandas_dataframe_agent like so:
```
create_pandas_dataframe_agent(ChatOpenAI(model_name='gpt-4', temperature=0), df, verbose=True,
max_iterations=2,
early_stopping_method="generate",
... | {
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In the latest langchain version, the `predict()` method seems to be deprecated. Now we just call LLM object again to send some prompt or content as the changes shown. | {
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Replace this comment with:
- Description: Removes MongoDB Atlas duplicate entry in the docs
- Twitter handle: @adam91holt
Maintainer responsibilities:
- DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
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https://api.github.com/repos/langchain-ai/langchain/issues/7005 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7005/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7005/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7005/events | https://github.com/langchain-ai/langchain/pull/7005 | 1,783,565,603 | PR_kwDOIPDwls5UYwBj | 7,005 | Update get_started.mdx | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7004 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7004/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7004/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7004/events | https://github.com/langchain-ai/langchain/issues/7004 | 1,783,463,930 | I_kwDOIPDwls5qTX_6 | 7,004 | ElasticSearch embedding need a function to add single text string as AzureOpenAI only support single text input now | {
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... | closed | false | null | [] | null | 1 | 2023-07-01T03:54:40 | 2023-10-07T16:05:33 | 2023-10-07T16:05:32 | NONE | null | ### Feature request
ElasticSearch embedding need a function to add single text string as Azure OpenAI only support single text input now.
Message from Azure OpenAI Embedding:
embed_documents(texts)
# openai.error.InvalidRequestError: Too many inputs for model None.
# The max number of inputs is 1. W... | {
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I have made changes to the Chroma DB Vector Store Wrapper to accept a persistent directory from client settings.
Issue:
https://github.com/hwchase17/langchain/issues/6938
Dependencies:
None
Tag maintainer: @rlancemartin, @eyurtsev
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[https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss](https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss)
There's a section that allows you to filter the documents stored in FAISS
It will be cool to allow
results = db... | {
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Python version: Python 3.10.6
Langchain version: 0.0.219
OS: Ubuntu 22.04
### Who can help?
@eyurtsev
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
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- @dev2049
- Agents / Tools / Toolkits: @vowelparrot
- Tracing / Callbacks: @agola11
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Most recent versions of all
### Who can help?
@hwchase17 @agola11
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### Related Components
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- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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You can get chat completions by passing one or more messages to the chat model. The response will be a message. The types of messages currently supported in LangChain are AIMessage, HumanMessage, SystemMessage, and ChatMessage -- ChatMessage takes in an arbitrary role parameter. M... | {
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Macbook OSX
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sdk_version:0.0.17
library:langchainplus_sdk
platform:macOS-13.3.1-arm64-arm-64bit
runtime:python
runtime_version:3.11.4
I'm getting this error, and no matter what co... | {
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running google/flan-tf-xxl on ghcr.io/huggingface/text-generation-inference:0.8
langchain==0.0.220
text-generation==0.6.0
### Who can help?
@hwchase17
@agola11
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- [x] My own modified scripts
### Related Components
- [X] LLMs/Cha... | {
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Previously, the JIRA API Wrapper had a mode that simply pipelined user input into an `exec()` function.
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Macos system
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### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [X] Output Parsers
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Dependencies: Nothing changed
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- Refactored BraveSearch wrapper
- Added a Jupyter Notebook example
- Added `Ecosystem/Integrations` BraveSearch page
Please review:
- DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
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- Tag maintainer: @rlancemartin @eyurtsev
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https://api.github.com/repos/langchain-ai/langchain/issues/6984 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6984/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6984/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6984/events | https://github.com/langchain-ai/langchain/issues/6984 | 1,782,833,784 | I_kwDOIPDwls5qQ-J4 | 6,984 | VectaraRetriever does not use the parameters passed in by `Vectara.as_retriever()` | {
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... | closed | false | null | [] | null | 4 | 2023-06-30T16:42:27 | 2023-10-08T16:05:51 | 2023-10-08T16:05:50 | NONE | null | `class VectaraRetriever` does not use the parameters passed in by `Vectara.as_retriever()`. The class definition sets up `vectorstore` and `search_kwargs` but then there is no check for values coming in from `Vectara.as_retriever()`.
https://github.com/hwchase17/langchain/blob/e3b7effc8f39333076c2bedd7306de81ce988de... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6983 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6983/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6983/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6983/events | https://github.com/langchain-ai/langchain/issues/6983 | 1,782,823,112 | I_kwDOIPDwls5qQ7jI | 6,983 | DOC: "Edit this page" returns 404 | {
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... | closed | false | null | [] | null | 1 | 2023-06-30T16:33:59 | 2023-10-06T16:05:48 | 2023-10-06T16:05:47 | CONTRIBUTOR | null | ### Issue with current documentation:
The links in the documentation to make contributions to pages point to the wrong file location within the repository. For example, the link on the "Quickstart" page points to the filepath `docs/docs/get_started/quickstart.mdx`, when it should point to `docs/docs_skeleton/docs/get_... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6982 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6982/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6982/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6982/events | https://github.com/langchain-ai/langchain/issues/6982 | 1,782,809,247 | I_kwDOIPDwls5qQ4Kf | 6,982 | RetrievalQAWithSourcesChain object default prompt is problematic | {
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... | closed | false | null | [] | null | 2 | 2023-06-30T16:22:47 | 2023-10-06T16:05:53 | 2023-10-06T16:05:52 | NONE | null | ### System Info
Here is my code to initialize the Chain, it should come with the default prompt template:
qa_source_chain = RetrievalQAWithSourcesChain.from_chain_type(
llm=llm_chat,
chain_type="stuff",
retriever=db_test.as_retriever()
)
Here is the source chain object, I guess default template f... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6981 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6981/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6981/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6981/events | https://github.com/langchain-ai/langchain/issues/6981 | 1,782,808,760 | I_kwDOIPDwls5qQ4C4 | 6,981 | Issue: 401 error when using ConversationalRetrievalQAChain | {
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Everything was working fine 10 min ago, but now when I use the ConversationalRetrievalQAChain I always get a 401 error, I tried 2 difrent API keys and the error persists, don't really know what the issue mght be, any ideas?
This is the error log:
[chain/error] [1:chain:conversatio... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6980 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6980/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6980/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6980/events | https://github.com/langchain-ai/langchain/issues/6980 | 1,782,808,752 | I_kwDOIPDwls5qQ4Cw | 6,980 | llma Embeddings error | {
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... | closed | false | null | [] | null | 3 | 2023-06-30T16:22:20 | 2023-12-01T16:09:18 | 2023-12-01T16:09:17 | NONE | null | ### System Info
Traceback (most recent call last):
File "/Users/apple/Desktop/LLM/gpt4all_langchain_chatbots/teacher/lib/python3.10/site-packages/langchain/embeddings/llamacpp.py", line 85, in validate_environment
from llama_cpp import Llama
ModuleNotFoundError: No module named 'llama_cpp'
During handling ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6979 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6979/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6979/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6979/events | https://github.com/langchain-ai/langchain/pull/6979 | 1,782,804,627 | PR_kwDOIPDwls5UWLEy | 6,979 | Beef up import test | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6978 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6978/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6978/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6978/events | https://github.com/langchain-ai/langchain/pull/6978 | 1,782,799,836 | PR_kwDOIPDwls5UWKBP | 6,978 | Rm pytz dep | {
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... | closed | false | null | [] | null | 1 | 2023-06-30T16:15:51 | 2023-06-30T16:24:02 | 2023-06-30T16:24:01 | COLLABORATOR | null | <!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below)... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6977 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6977/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6977/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6977/events | https://github.com/langchain-ai/langchain/pull/6977 | 1,782,757,633 | PR_kwDOIPDwls5UWApr | 6,977 | feat: enable `UnstructuredEmailLoader` to process attachments | {
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Updates `UnstructuredEmailLoader` so that it can process attachments in addition to the e-mail content. The loader will process attachments if the `process_attachments` kwarg is passed when the loader is instantiated.
### Testing
```python
file_path = "fake-email-attachment.eml"
loader = Unstru... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6976 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6976/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6976/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6976/events | https://github.com/langchain-ai/langchain/pull/6976 | 1,782,737,214 | PR_kwDOIPDwls5UV8NA | 6,976 | Enable InMemoryDocstore to be constructed without providing a dict | {
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... | closed | false | null | [] | null | 1 | 2023-06-30T15:32:51 | 2023-08-23T16:00:38 | 2023-07-05T20:56:31 | CONTRIBUTOR | null | - Description: Allow `InMemoryDocstore` to be created without passing a dict to the constructor; the constructor can create a dict at runtime if one isn't provided.
- Tag maintainer: @dev2049
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langchain v0.0.220
Python 3.11.3
### Who can help?
@hwchase17
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
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It would be great if the [JSONLinesLoader](https://js.langchain.com/docs/modules/indexes/document_loaders/examples/file_loaders/jsonlines) that's available in the JS version of Langchain could be ported to the Python version.
### Motivation
I find working with jsonl files to be frequently easier ... | {
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... | closed | false | null | [] | null | 2 | 2023-06-30T12:34:14 | 2023-07-03T04:37:06 | 2023-07-03T04:37:06 | NONE | null | ### System Info
Traceback (most recent call last):
File "/tmp/pycharm_project_93/test_qa_generation.py", line 50, in <module>
result = qa.run({"question": query, "vectordbkwargs": vectordbkwargs })
File "/root/.cache/pypoetry/virtualenvs/irc-llm-0Bb4gJSe-py3.10/lib/python3.10/site-packages/langchain/chains/... | {
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... | closed | false | null | [] | null | 2 | 2023-06-30T11:37:16 | 2023-06-30T11:59:52 | 2023-06-30T11:59:52 | NONE | null | ### System Info
langchain==0.0.219
### Who can help?
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Outpu... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/6968 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/6968/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/6968/comments | https://api.github.com/repos/langchain-ai/langchain/issues/6968/events | https://github.com/langchain-ai/langchain/issues/6968 | 1,782,326,661 | I_kwDOIPDwls5qPCWF | 6,968 | langchain.chat_models.ChatOpenAI does not returns a response while langchain.OpeAI does rteturn results | {
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... | closed | false | null | [] | null | 3 | 2023-06-30T10:55:01 | 2023-10-23T16:07:22 | 2023-10-23T16:07:21 | NONE | null | ### System Info
langchain==0.0.208
penai==0.27.8
python==3.10.6
### Who can help?
@hwchase17 Could you please help me in resolving the error whenver I run an gaent with the LLM as ChatOpenAI() i get the response as **""Do I need to use a tool? No.""**
While the agent returns the response perfectly fine with ll... | {
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... | closed | false | null | [] | null | 4 | 2023-06-30T09:30:48 | 2023-07-03T15:38:32 | 2023-07-03T15:38:31 | CONTRIBUTOR | null | - Description: Added a new SpacyEmbeddings class for generating embeddings using the Spacy library.
- Issue: Sentencebert/Bert/Spacy/Doc2vec embedding support #6952
- Dependencies: This change requires the Spacy library and the 'en_core_web_sm' Spacy model.
- Tag maintainer: @dev2049
- Twitter handle: N/A
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... | closed | false | null | [] | null | 7 | 2023-06-30T09:28:27 | 2023-07-14T01:12:53 | 2023-07-14T01:11:57 | CONTRIBUTOR | null | The `_results_to_docs_and_scores()` function should have returned the similarity score (higher values indicating more similarity), but erroneously returned the distance (higher values indicating less similarity).
@rlancemartin, @eyurtsev
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run langchain agent takes a lot of time,about 20s。the question is simple. Is there any good way reduce time?
### Suggestion:
_No response_ | {
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