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https://api.github.com/repos/langchain-ai/langchain/issues/8827 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8827/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8827/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8827/events | https://github.com/langchain-ai/langchain/issues/8827 | 1,838,264,689 | I_kwDOIPDwls5tkbFx | 8,827 | Agent using tool when it's not needed | {
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"node_id... | closed | false | null | [] | null | 10 | 2023-08-06T16:17:01 | 2023-12-14T12:34:07 | 2023-11-15T16:06:17 | NONE | null | I initialized the tool and agent as following:
```
llm = ChatOpenAI(
openai_api_key=OPENAI_API_KEY,
model_name = 'gpt-3.5-turbo',
temperature=0.0,
)
conversational_memory = ConversationBufferWindowMemory(
memory_key='chat_history',
k=6,
return_messages=True
)
qa = RetrievalQA.f... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8824 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8824/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8824/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8824/events | https://github.com/langchain-ai/langchain/issues/8824 | 1,838,248,487 | I_kwDOIPDwls5tkXIn | 8,824 | Refine prompt modification | {
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... | open | false | null | [] | null | 3 | 2023-08-06T15:25:06 | 2023-11-05T17:16:40 | null | NONE | null | ### Feature request
I want to offer to change refine prompts to make a summary more correct.
### Motivation
In some cased (I can't say when exactly, but one time per 10-20) I saw that refine LLM added some additional text for summary.
Example:
> Since the provided context does not add any relevant information to... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8823 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8823/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8823/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8823/events | https://github.com/langchain-ai/langchain/pull/8823 | 1,838,230,735 | PR_kwDOIPDwls5XRYek | 8,823 | Feature/partial clearance buffer memory | {
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"node_... | closed | false | null | [] | null | 2 | 2023-08-06T14:31:37 | 2023-08-06T22:29:52 | 2023-08-06T22:29:52 | CONTRIBUTOR | null |
- Description: I ran into a problem several times that Conversation buffer memory gets full as soon as it reaches 4097 tokens. And we wouldn't want to completely clear the history as then the complete context would be lost. So I have added a method in **ChatMessageHistory** named **partial_clear** which takes an ar... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8822 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8822/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8822/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8822/events | https://github.com/langchain-ai/langchain/pull/8822 | 1,838,207,052 | PR_kwDOIPDwls5XRUGy | 8,822 | Add support for Xata as a vector store | {
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"id": 56... | closed | false | null | [] | null | 4 | 2023-08-06T13:19:19 | 2023-08-08T11:15:57 | 2023-08-07T15:14:52 | CONTRIBUTOR | null | This adds support for [Xata](https://xata.io) (data platform based on Postgres) as a vector store. We have recently added [Xata to Langchain.js](https://github.com/hwchase17/langchainjs/pull/2125) and would love to have the equivalent in the Python project as well.
The PR includes integration tests and a Jupyter not... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8821 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8821/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8821/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8821/events | https://github.com/langchain-ai/langchain/issues/8821 | 1,838,189,640 | I_kwDOIPDwls5tkIxI | 8,821 | How to pass a CSV file or a dataframe to Pandas REPL tool in Langchain? | {
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"node_id... | closed | false | null | [] | null | 3 | 2023-08-06T12:26:01 | 2023-11-14T16:06:09 | 2023-11-14T16:06:08 | NONE | null | I am trying to utilize Python Repl Tool in langchain with a CSV file and send me the answer based on the CSV file content. The problem is that it gets the action_input step of writing the code to execute right. However, it fails to answer because it couldn't determine the dataframe it should run the code on.
For exa... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8819 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8819/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8819/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8819/events | https://github.com/langchain-ai/langchain/issues/8819 | 1,838,174,943 | I_kwDOIPDwls5tkFLf | 8,819 | Issue: Unstructured module nees backing off to lower ver. 0.7.12 seems ok | {
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... | closed | false | null | [] | null | 1 | 2023-08-06T11:45:44 | 2023-11-12T16:05:44 | 2023-11-12T16:05:43 | NONE | null | ### Issue you'd like to raise.
guys if not already logged.. I had to uninstall unstructured module and back it off to lower ver. 0.7.12. python3 -m pip install unstructured==0.7.12
### Suggestion:
maybe this needs attention ? | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8818 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8818/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8818/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8818/events | https://github.com/langchain-ai/langchain/issues/8818 | 1,838,174,041 | I_kwDOIPDwls5tkE9Z | 8,818 | Issue: Conversation retreival chain : if current question is not at all related to prevoius chat history | {
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"id":... | open | false | null | [] | null | 7 | 2023-08-06T11:42:41 | 2023-11-13T16:40:41 | null | NONE | null | ### Issue you'd like to raise.
How to handle such scenarios if the current asked questions is totally a new question and does not have relation with previous chat history . The standalone question would probably be non-sense, as it's semantic is twisted by the chat history.
`OPENAI_API_KEY=xxxxxx
OPENAI_API_BASE=h... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8817 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8817/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8817/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8817/events | https://github.com/langchain-ai/langchain/issues/8817 | 1,838,102,702 | I_kwDOIPDwls5tjziu | 8,817 | How to catch 'maximum context length' error | {
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Can't find the way to deal with the 'maximum context length' error from OpenAI. Any way to catch it within langchain?
### Suggestion:
Add a error handler? | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8816 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8816/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8816/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8816/events | https://github.com/langchain-ai/langchain/issues/8816 | 1,838,088,521 | I_kwDOIPDwls5tjwFJ | 8,816 | How to make a Chatbot responde based on custom data and from the internet? | {
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"node_... | closed | false | null | [] | null | 2 | 2023-08-06T07:22:44 | 2023-11-12T16:05:54 | 2023-11-12T16:05:53 | NONE | null | ### Issue you'd like to raise.
I've updated the code but very strange it doesn't find a good response. When I print(response["answer"]) I get that there is no text to give to the query I put. Even if it gets information from the internet and the Document on the list seems good structured. Here the code:
`
... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8815 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8815/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8815/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8815/events | https://github.com/langchain-ai/langchain/issues/8815 | 1,838,084,628 | I_kwDOIPDwls5tjvIU | 8,815 | Object of type AgentAction is not JSON serializable | {
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"node_id... | closed | false | null | [] | null | 2 | 2023-08-06T07:11:26 | 2023-08-06T09:06:42 | 2023-08-06T09:06:42 | NONE | null | ### System Info
version 0.0.253
Running on a Jupyter Notebook in Google Colab
### 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 / Promp... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8814 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8814/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8814/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8814/events | https://github.com/langchain-ai/langchain/pull/8814 | 1,838,076,379 | PR_kwDOIPDwls5XQ711 | 8,814 | Add missing tests for evaluation | {
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- Add missing tests for evaluation
Replace this comment with:
- Description: Add missing tests for evaluation
- Issue: None
- Dependencies: None
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below),
- Twitter handle: @MLopsJ
Please make sure you're PR is passing... | {
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Tag maintainer: @rlancemartin | {
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- This is to fix exception inconsistencies.
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- Show snippets of highlighted keywords when searching
- Improved keyword search
- Fixed bugs and issues
Shoutout to @calebpeffer for implementing and gathering feedback on it
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* add comment about vector length for ingest transformation
* change OPENAI_KEY -> OPENAI_API_KEY
cc @baskaryan | {
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this PR aims at integrating [vllm](https://vllm.readthedocs.io/en/latest/#) into langchain. This PR closes #8729.
This feature clearly depends on `vllm`, but I've seen other models supported here depend on packages that are not included in the pyproject.toml (e.g. `gpt4all`, `text-gen... | {
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This is related to #7002, but I wouldn't resolve because that calls for taking all search arguments as direct keyword arguments, while ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8802 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8802/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8802/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8802/events | https://github.com/langchain-ai/langchain/issues/8802 | 1,837,920,794 | I_kwDOIPDwls5tjHIa | 8,802 | How to pass multiple filters in db.get_relevant_documents() | {
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... | closed | false | null | [] | null | 2 | 2023-08-05T20:03:46 | 2023-11-12T16:05:59 | 2023-11-12T16:05:59 | NONE | null | I have three metadata: vehicle, color and city.
I want to retrieve chunks with filter -> vehicle = car, color = red and city = NY
All these conditions should be met in the retrieved chunks.
How can I do that?
results = db.get_relevant_documents(
query=query,
filter={"vehicle": ... | {
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... | open | false | null | [] | null | 21 | 2023-08-05T18:57:43 | 2023-10-15T02:09:25 | null | NONE | null | ### Issue you'd like to raise.
Bedrock can't seem to load my credentials when used within a Lambda function. My AWS credentials were set up in my local environment using environment variables. When I use the bedrock class directly, it is able to load my credentials and my code runs smoothly. Here is the RetrievalQA ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8796 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8796/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8796/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8796/events | https://github.com/langchain-ai/langchain/pull/8796 | 1,837,796,344 | PR_kwDOIPDwls5XQIB4 | 8,796 | feat: expose Kendra result item id and document id as document metadata | {
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... | closed | false | null | [] | null | 1 | 2023-08-05T14:52:16 | 2023-08-06T00:21:25 | 2023-08-06T00:21:25 | CONTRIBUTOR | null | - Description: we expose Kendra result item id and document id as document metadata.
- Tag maintainer: @3coins @baskaryan
- Twitter handle: wilsonleao
**Why**
The result item id and document id might be used to keep track of the retrieved resources. | {
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... | closed | false | null | [] | null | 2 | 2023-08-05T14:41:28 | 2023-08-06T11:42:45 | 2023-08-06T11:42:45 | NONE | null | ### System Info
BSHTMLLoader not working for urls
````
from langchain.document_loaders import BSHTMLLoader
url = "https://www.google.com"
loader = BSHTMLLoader({"url": url})
doc = loader.load()
````
I tried this one also not working
````
from langchain.document_loaders import BSHTMLLoader
url ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8794 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8794/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8794/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8794/events | https://github.com/langchain-ai/langchain/issues/8794 | 1,837,765,386 | I_kwDOIPDwls5tihMK | 8,794 | File "pydantic/main.py", line 341, in pydantic.main.BaseModel.__init__ pydantic.error_wrappers.ValidationError: 1 validation error for Document" | {
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... | open | false | null | [] | null | 5 | 2023-08-05T13:36:08 | 2024-01-06T04:15:11 | null | NONE | null | ### System Info
Traceback:
docsearch.similarity_search(
File "/usr/local/lib/python3.9/site-packages/langchain/vectorstores/pinecone.py", line 162, in similarity_search
docs_and_scores = self.similarity_search_with_score(
File "/usr/local/lib/python3.9/site-packages/langchain/vectorstores/pinecone.py", ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8793 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8793/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8793/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8793/events | https://github.com/langchain-ai/langchain/pull/8793 | 1,837,714,071 | PR_kwDOIPDwls5XP4mE | 8,793 | Add new parameter forced_decoder_ids to OpenAIWhisperParserLocal + small bug fix | {
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"url... | closed | false | null | [] | null | 2 | 2023-08-05T11:37:44 | 2023-08-12T11:15:42 | 2023-08-07T20:17:58 | CONTRIBUTOR | null | - Description: new parameter forced_decoder_ids for OpenAIWhisperParserLocal to force input language, and enable optional translate mode. Usage example:
processor = WhisperProcessor.from_pretrained("openai/whisper-medium")
forced_decoder_ids = processor.get_decoder_prompt_ids(language="french", task="tran... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8792 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8792/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8792/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8792/events | https://github.com/langchain-ai/langchain/issues/8792 | 1,837,713,670 | I_kwDOIPDwls5tiUkG | 8,792 | Add option to directly set input language for OpenAIWhisperParserLocal | {
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... | closed | false | null | [] | null | 1 | 2023-08-05T11:36:13 | 2023-11-11T16:05:21 | 2023-11-11T16:05:21 | CONTRIBUTOR | null | ### Feature request
Add option to directly set input language for OpenAIWhisperParserLocal (in case incorrect autodetection (language="french", task = "transcribe") and optionally use translation mode of the whisper model (language="french", task = "translate")
### Motivation
I encountered situations where audio is... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8791 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8791/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8791/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8791/events | https://github.com/langchain-ai/langchain/pull/8791 | 1,837,701,142 | PR_kwDOIPDwls5XP16B | 8,791 | Fix: RecursiveUrlLoader is not working (#8367) | {
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"url... | closed | false | null | [] | null | 6 | 2023-08-05T11:05:37 | 2023-08-10T22:59:52 | 2023-08-10T22:59:52 | NONE | null | Fixes #8367
Before this fix:
```python
from langchain.document_loaders import RecursiveUrlLoader
docs = RecursiveUrlLoader(url="https://docs.python.org/3/").load()
print(len(docs))
```
It returns 0 docs
After this fix:
```python
from langchain.document_loaders import RecursiveUrlLoader
docs = Recursive... | {
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"node_id... | closed | false | null | [] | null | 1 | 2023-08-05T08:30:33 | 2023-11-11T16:05:26 | 2023-11-11T16:05:26 | NONE | null | ### Issue you'd like to raise.
Hello,
I want achive SQL Database Agent, by using that I want to retrive data from the database and execute queries.
So for that I have tried,
```
from langchain.agents import create_sql_agent
from langchain.agents.agent_toolkits import SQLDatabaseToolkit
from langchain.sql... | {
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"id":... | closed | false | null | [] | null | 1 | 2023-08-05T08:26:14 | 2023-08-07T13:40:06 | 2023-08-07T13:40:06 | NONE | null | ### System Info
Name: langchain
Version: 0.0.250
Python=3.11.4
### Who can help?
@agola @hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selec... | {
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"id":... | closed | false | null | [] | null | 2 | 2023-08-05T07:59:48 | 2023-11-15T16:07:07 | 2023-11-15T16:07:06 | NONE | null | ### System Info
Hi!
While using Llama cpp in LangChain, I am trying to load the "llama-2-70b-chat" model. The code I am using is:
n_gpu_layers = 40 # Change this value based on your model and your GPU VRAM pool.
n_batch = 512 # Should be between 1 and n_ctx, consider the amount of VRAM in your GPU.
cal... | {
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"url... | closed | false | null | [] | null | 1 | 2023-08-05T06:47:54 | 2023-08-06T22:11:45 | 2023-08-06T22:11:45 | CONTRIBUTOR | null | Fixes for #8786 @agola11
- Description: The flow of callback is breaking till the last chain, as callbacks are missed in between chain along nested path. This will help get full trace and correlate parent child relationship in all nested chains.
- Issue: the issue #8786
- Dependencies: NA
- Tag maint... | {
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"node_id... | closed | false | null | [] | null | 1 | 2023-08-05T06:43:10 | 2023-11-11T16:05:36 | 2023-11-11T16:05:36 | CONTRIBUTOR | null | ### System Info
langchain: 0.0.252
python: 3.10.12
@agola11
### Who can help?
@agola11 please take a look,
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Pr... | {
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- Issue: NA,
- Dependencies: NA,
- Tag maintainer: @baskaryan,
- Twitter handle: NA
<!-- Thank you for contributing to LangChain!
Replace this comment with:
- ... | {
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... | closed | false | null | [] | null | 1 | 2023-08-05T03:23:33 | 2023-08-06T00:32:34 | 2023-08-06T00:31:41 | CONTRIBUTOR | null | # What
- Add missing test for retrievers self_query
- Add missing import validation
<!-- Thank you for contributing to LangChain!
Replace this comment with:
- Description: Add missing test for retrievers self_query
- Issue: None
- Dependencies: None
- Tag maintainer: @rlancemartin, @eyurtsev
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if possible to provide NLTK tokenizer alternative options? such as spaCy, openNLP...
### Motivation
NLTK issues:
```
Resource averaged_perceptron_tagger not found.
Please use the NLTK Downloader to obtain the resource:
>>> import nltk
>>> nltk.download('averaged_perceptron_tagger')
... | {
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i'm using newest langchain, python 3
so i try agent but got inconsistent answer, this is the output
the true answer is "Jalan lori tidak termasuk jalan umum". i tr... | {
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LangChain has become widely popular and adopted by developers. The documentation of any developer product plays a crucial role in the developer experience. Collecting feedback on the LangChain documentation will further improve the developer experience and help the community.
## Description
[Docs... | {
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```
relative/to/current
```
or
```
https://www.samedomain.com/i/am/relative/path
``` | {
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Platform: Apple M1 Pro
Python version: Python 3.9.6
Dependencies:
aiohttp==3.8.5
aiosignal==1.3.1
anyio==3.7.1
async-timeout==4.0.2
atlassian-python-api==3.40.0
attrs==23.1.0
backoff==2.2.1
beautifulsoup4==4.12.2
blobfile==2.0.2
certifi==2023.7.22
charset-normalizer==3.2.0
chroma-hnsw... | {
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... | closed | false | null | [] | null | 1 | 2023-08-04T21:14:46 | 2023-08-07T21:42:49 | 2023-08-07T21:42:48 | CONTRIBUTOR | null | Added async parsing functions for RetryOutputParser, RetryWithErrorOutputParser and OutputFixingParser.
The async parse functions call the arun methods of the used LLMChains.
Fix for #7989
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Latest versions of langchain at the current time.
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [x] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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Original PR: https://github.com/langchain-ai/langchain/pull/8497 | {
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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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- It inherits from ChatOpenAI and requires openai (probably unnecessary but it made for a quick and easy implementation)
- Inspired by https://github.com/langchain-ai/l... | {
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I am used langchain to get a text embedding with the next code:
```
from langchain.embeddings import LlamaCppEmbeddings
llama = LlamaCppEmbeddings(model_path="/alloc/data/fury_mld-nlp-search/ggml-model-q4_0.bin",n_gpu_layers=None)
embedding= llama.embed_documents(["Thi is a text"])
```
The prob... | {
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- Description: Updates to Fireworks Documentation,
- Issue: N/A,
- Dependencies: N/A,
- Tag maintainer: @rlancemartin,
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Hello,
I am trying to use PlanAndExecute Agent... and getting error langchain.tools.base.ToolException: Too many arguments to single-input.
I am using SQLDatabaseToolkit & a custom tool .
Let me know if i need to modify in the below code...
```
toolkit = SQLDatabaseToolkit(db=db... | {
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This PR is heavily based on: https://github.com/matplotlib/matplotlib/blob/main/lib/matplotlib/_api/deprecation.py
This PR only includes deprecation functionality (no renaming etc.).
Additional functionality can be added on a need basis (e.g., renaming p... | {
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Replace this comment with:
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when trying to re-use the original AI message.
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langchain 0.0.251
Python 3.10.9
### Who can help?
_No response_
### Information
- [ ] 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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Hello I'm trying to do retrivalQA over pdf file. LLM returns correct answer but later it starts ask questions to itself. Is anyone else facing this issue before and know how to solve it? here is sample answer `{'query': '### Human: Zagraniczne inwestycje bezpośrednie w Polsce \n### Assis... | {
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... | closed | false | null | [] | null | 3 | 2023-08-04T13:08:58 | 2023-08-07T10:23:40 | 2023-08-07T10:23:40 | NONE | null | ### System Info
Name: langchain
Version: 0.0.251
Python 3.11.4
Docker image: tiangolo/uvicorn-gunicorn-fastapi:python3.11
### Who can help?
@eyurtsev not sure if this is an issue in GoogleDriveLoader or our brain and how to authenticate
### Information
- [X] The official example notebooks/scripts
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- Description: Integrates [BagelDB](http://bageldb.ai/) into LangChain.
- Issue: N/A
- Dependencies: 'betabageldb` Python (PyPi / PIP) package.
- Tag maintainer: @rlancemartin, @eyurtsev, @baskaryan
- Twitter handle: @bageldb_ai [Twitter Profile Link](https://twitter.com/bageldb_ai)
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- Previous version had only one callback
- @hinthornw @hwchase17 Can you look into this
- Shout out to @MultiON_AI @DivGarg9 on twitter
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I've checked the langchain versions >=0.0.247 up to 0.0.251.
### Who can help?
What happened to all the experimental stuff?
@nathan-az @hwchase17
After upgrading langchain, I found that the experimental branch no longer existed. There's a lot of stuff moved from experimental to the libs/experim... | {
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- **Langchain** (v. 0.0.244)
- **Python** (v. 3.11.4)
- **Opensearch** (latest version - v.2.9) running on Docker Container (v. 4.21.0)
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/... | {
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Hey, my agent won't recognize any chat history. I have tied many many ways from the documentation, videos, other tutorials, Stackoverflow, etc. I cant find out a way how it works for my setup:
I have tried with different types of memory:
`memory = ConversationBufferWindowMemory(mem... | {
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Implementing langchain, Running my custom code, it returns “segmentation fault”.
### Suggestion:
_No response_ | {
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- Issue: NA,
- Dependencies: NA,
- Tag maintainer: @baskaryan,
- Twitter handle: NA
Thanks for your time.
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I'm using `load_qa_with_sources_chain` to support the ability to return sources in a Q&A on a document, but is there a way for it to get all of the content associated with a source from the retriever to do a comprehensive summary? Also I'm using `ConversationSummaryBufferMemory` and `R... | {
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Current `api_docs_build` is not capturing all classes, particularly the ones without any base class. The problem seems to be with the regex used for capturing the class names. This is causing broken links in the docs in several places, due to missing api docs. Here are some examples of missing api docs.... | {
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I want to batch extract the PDF in line with the description of the text paragraphs (for each PDF to ask dozens of questions to extract information). I now cycle through the **RetrievalQA.from_chain_type** function for batch extraction found that each PDF extraction process only the firs... | {
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### Suggestion:
_No response_ | {
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For discussion!
- Forces users to pass in 1 of the following: client, client_settings or persist_directory.
- Gives the user helpful error messages if they dont do this
- keeps backwards compatibility for pre `0.3.29` however gently encou... | {
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langchain: 0.0.250
python: 3.11.4
windows: 10
### Who can help?
@agola11 @hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selec... | {
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- Description: is_persistent also needs to be set to True when persist_directory exists
- Issue: PR #8267 fixed issue-7804 but introduced another issue where is_persistent is not set to True (defaulted to False). This causes ChromaDB not persisting data to disk.
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- Tag maintainer:@baskaryan @hwchase17 ,
- Twitter handle: https://www.linkedin.com/in/haiphunghiem/ (I'm on LinkedIn mostly)
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Hello,
We are looking to add an intermediate layer between langchain and azure openai calls so that all requests pass through our custom api instead of azure openai.
The request body and url parameters are slightly different
Is there any recommended way of accomplishing this wit... | {
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[DingoDB](https://dingodb.readthedocs.io/en/latest/) is a distributed multi-mode vector database, which combines the characteristics of data lakes and vector databases. It has real-time low-latency processing capabilities to achieve rapid insight and response, and can efficiently conduct instant analysis ... | {
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can we please get vllm support for faster inference
### Motivation
faster inference speed compared to using hugging face pipeline
### Your contribution
n/a | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8727 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8727/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8727/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8727/events | https://github.com/langchain-ai/langchain/pull/8727 | 1,835,890,782 | PR_kwDOIPDwls5XJyvt | 8,727 | support for arbitrary kwargs for llamacpp | {
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... | closed | false | null | [] | null | 1 | 2023-08-04T00:26:16 | 2023-08-04T13:52:03 | 2023-08-04T13:52:02 | COLLABORATOR | null | llamacpp params (per their own code) are unstable, so instead of adding/deleting them constantly adding a model_kwargs parameter that allows for arbitrary additional kwargs
cc @jsjolund and @zacps re #8599 and #8704 | {
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Python 3.10.12
langchain 0.0.233
### Who can help?
@agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt... | {
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Ubuntu
### Who can help?
_No response_
### Information
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- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loaders
- ... | {
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@baskaryan
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https://api.github.com/repos/langchain-ai/langchain/issues/8722 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8722/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8722/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8722/events | https://github.com/langchain-ai/langchain/pull/8722 | 1,835,817,240 | PR_kwDOIPDwls5XJjVT | 8,722 | tagging docs refactor | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8721 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8721/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8721/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8721/events | https://github.com/langchain-ai/langchain/pull/8721 | 1,835,779,059 | PR_kwDOIPDwls5XJbV_ | 8,721 | new `tensoflow_datasets` document loader | {
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@eyurtsev | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8720 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8720/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8720/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8720/events | https://github.com/langchain-ai/langchain/pull/8720 | 1,835,758,817 | PR_kwDOIPDwls5XJXHf | 8,720 | wip Bagatur/google drive | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8719 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8719/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8719/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8719/events | https://github.com/langchain-ai/langchain/issues/8719 | 1,835,747,652 | I_kwDOIPDwls5ta0lE | 8,719 | ChromaDB integration should properly handle the new Ephemeral/Persistent client objects in recent Chroma version. | {
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"id": 56... | closed | false | null | [] | null | 2 | 2023-08-03T21:17:48 | 2023-08-04T13:58:17 | 2023-08-04T13:58:17 | NONE | null | With the new Chroma version introducing EphemeralClient and PersistentClient objects, I believe the LangChain integration should be updated to properly handle this.
Below is the relevant code, I believe, where this should be done in the Chroma constructor (chroma.py)
```python
elif persist_directory:... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/8717 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/8717/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/8717/comments | https://api.github.com/repos/langchain-ai/langchain/issues/8717/events | https://github.com/langchain-ai/langchain/issues/8717 | 1,835,652,884 | I_kwDOIPDwls5tadcU | 8,717 | MRKL agent: Rename Action and Action Input to Tool and Tool Input | {
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Hi,
During work with Hermes, Beluga and Wizardlm and MRKL agent i have noticed that the model often get confused with the action and action input.
The model might decide on using the correct tool, however in the MRKL format
```
Question: the input question you must answer
Thought: you s... | {
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