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I was just trying to run the Tagging tutorial (no code modification on colab).
https://python.langchain.com/docs/use_cases/tagging
And on the below code part,
```chain = create_tagging_chain_pydantic(Tags, llm)```
I got this error.
```
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Issue: https://github.com/langchain-ai/langchain/issues/9808
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Issue: https://github.com/langchain-ai/langchain/issues/9808
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https://api.github.com/repos/langchain-ai/langchain/issues/9812 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9812/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9812/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9812/events | https://github.com/langchain-ai/langchain/issues/9812 | 1,868,296,846 | I_kwDOIPDwls5vW_KO | 9,812 | Renaming RetrievalQAWithSources to RetrievalQAWithCitations | {
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... | closed | false | null | [] | null | 2 | 2023-08-26T23:33:34 | 2023-12-02T16:04:52 | 2023-12-02T16:04:51 | CONTRIBUTOR | null | ### Feature request
Hey, I'm trying to gather some empirical evidence that RetrievalQAWithSources chain often hallucinates to returns all sources rather than cite them.
Current Issue:
Assuming you have a retriever that returns 4 sources, RetrievalQAWithSources gets confused with the below prompt:
Given the followin... | {
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... | closed | false | null | [] | null | 3 | 2023-08-26T23:22:26 | 2023-09-19T02:01:31 | 2023-08-27T05:15:58 | NONE | null | ### System Info
**Background**
I'm trying to run the Streamlit Callbacks example
https://python.langchain.com/docs/integrations/callbacks/streamlit
My code is copy + paste but I get an error from the LangChain library import.
**Error**
```
ImportError: cannot import name 'StreamlitCallbackHandler' from 'la... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9810 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9810/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9810/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9810/events | https://github.com/langchain-ai/langchain/pull/9810 | 1,868,289,453 | PR_kwDOIPDwls5Y2-E_ | 9,810 | add gmail loader | {
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... | closed | false | null | [] | null | 1 | 2023-08-26T21:55:21 | 2023-08-26T23:50:40 | 2023-08-26T23:50:40 | CONTRIBUTOR | null | Description: This commit uses the new Service object in Selenium webdriver as executable_path has been [deprecated and removed in selenium version 4.11.2](https://github.com/SeleniumHQ/selenium/commit/9f5801c82fb3be3d5850707c46c3f8176e3ccd8e)
Issue: [9808](https://github.com/langchain-ai/langchain/issues/9808)
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... | closed | false | null | [] | null | 4 | 2023-08-26T21:15:49 | 2023-12-02T16:04:57 | 2023-12-02T16:04:56 | CONTRIBUTOR | null | ### System Info
langchain version 0.0.273
selenium version 4.11.2
In version 4.11.2, [Selenium fully deprecated and removed executable_path parameter from webdriver](https://github.com/SeleniumHQ/selenium/commit/9f5801c82fb3be3d5850707c46c3f8176e3ccd8e) in favor of using Service class object to pass in path/execut... | {
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LangChain 0.0.274, Python
### Who can help?
@hwchase17 @agola
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parser... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9804 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9804/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9804/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9804/events | https://github.com/langchain-ai/langchain/issues/9804 | 1,868,188,378 | I_kwDOIPDwls5vWkra | 9,804 | DOC: How to Connect Database Agent with SqlServer | {
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"node_id... | open | false | null | [] | null | 6 | 2023-08-26T17:45:27 | 2023-12-26T16:02:07 | null | CONTRIBUTOR | null | ### Issue with current documentation:
from langchain.agents import create_sql_agent
from langchain.agents.agent_toolkits import SQLDatabaseToolkit
from langchain.sql_database import SQLDatabase
from langchain.llms.openai import OpenAI
from langchain.agents import AgentExecutor
from langchain.agents.agent_types im... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9803 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9803/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9803/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9803/events | https://github.com/langchain-ai/langchain/issues/9803 | 1,868,177,575 | I_kwDOIPDwls5vWiCn | 9,803 | GoogleDriveLoader - AttributeError: 'Credentials' object has no attribute 'with_scopes' | {
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"description": "Related to document loader module (not documentation)"
... | closed | false | null | [] | null | 2 | 2023-08-26T17:11:56 | 2023-08-26T19:09:12 | 2023-08-26T19:09:12 | NONE | null | ### System Info
Google Auth version 2.22.0
Python version 3.8.8
langchain version: 0.0.273
### Who can help?
@eyurtsev the GoogleDriveLoader does not seem to be working as expected. I get a error of AttributeError: 'Credentials' object has no attribute 'with_scopes'.
### Information
- [X] The official example no... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9802 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9802/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9802/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9802/events | https://github.com/langchain-ai/langchain/issues/9802 | 1,868,175,495 | I_kwDOIPDwls5vWhiH | 9,802 | Issue: vector store supports custom database connections? | {
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"id": 56... | closed | false | null | [] | null | 1 | 2023-08-26T17:04:57 | 2023-10-28T07:03:20 | 2023-10-28T07:03:20 | CONTRIBUTOR | null | ### Issue you'd like to raise.
May I inquire whether the vector stroe accommodates the provision for customized database connection pooling?
Typically, opening a database connection is an expensive operation, especially if the database is remote. Pooling keeps the connections active so that, when a connection is l... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9801 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9801/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9801/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9801/events | https://github.com/langchain-ai/langchain/pull/9801 | 1,868,161,417 | PR_kwDOIPDwls5Y2l4i | 9,801 | Adds dataview fields and tags to metadata #9800 | {
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"color": "D4C5F9",
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"description": "Related to document loader module (not documentation)"
... | closed | false | null | [] | null | 3 | 2023-08-26T16:18:04 | 2023-09-04T12:48:52 | 2023-09-03T22:56:49 | CONTRIBUTOR | null | Description: Adds tags and dataview fields to ObsidianLoader doc metadata.
- Issue: #9800, #4991
- Dependencies: none
- Tag maintainer: My best guess is @hwchase17 looking through the git logs
- Twitter handle: I don't use twitter, sorry!
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https://api.github.com/repos/langchain-ai/langchain/issues/9800 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9800/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9800/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9800/events | https://github.com/langchain-ai/langchain/issues/9800 | 1,868,155,973 | I_kwDOIPDwls5vWcxF | 9,800 | Add support tags and dataview fields to ObsidianLoader | {
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"description": "Related to document loader module (not documentation)"
... | closed | false | null | [] | null | 2 | 2023-08-26T16:02:26 | 2023-12-02T16:05:07 | 2023-12-02T16:05:06 | CONTRIBUTOR | null | ### Feature request
Obsidian markdown documents frequently have additional metadata beyond what is in the frontmatter: tags within the document, and (for many users) dataview plugin values.
Add support for this.
### Motivation
Surfacing tags and dataview fields would unlock more abilities for self-querying obsidi... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9798 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9798/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9798/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9798/events | https://github.com/langchain-ai/langchain/issues/9798 | 1,868,085,901 | I_kwDOIPDwls5vWLqN | 9,798 | Issue: RuntimeWarning: coroutine 'AsyncCallbackHandler.on_chat_model_start' was never awaited | {
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"node_... | closed | false | null | [] | null | 3 | 2023-08-26T12:46:53 | 2023-12-02T16:05:12 | 2023-12-02T16:05:11 | NONE | null | ### Issue you'd like to raise.
Hello, I tried to use AsyncFinalIteratorCallbackHandler (which inherits from AsyncCallbackHandler) to implement async streaming, then encountered following issue:
libs/langchain/langchain/callbacks/manager.py:301: RuntimeWarning: coroutine 'AsyncCallbackHandler.on_chat_model_start' ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9797 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9797/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9797/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9797/events | https://github.com/langchain-ai/langchain/pull/9797 | 1,868,070,708 | PR_kwDOIPDwls5Y2UsN | 9,797 | Add ChatGLM for llm and chat_model by using ChatGLM API | {
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"url... | closed | false | null | [] | null | 8 | 2023-08-26T11:50:52 | 2023-11-16T07:05:42 | 2023-09-19T23:17:07 | CONTRIBUTOR | null | using sample:
```
endpoint_url = API URL
ChatGLM_llm = ChatGLM(
endpoint_url=endpoint_url,
api_key=Your API Key by ChatGLM
)
print(ChatGLM_llm("hello"))
```
```
model = ChatChatGLM(
chatglm_api_key="api_key",
chatglm_api_base="api_base_url",
model_name="model_name"
)
chain = LLMChai... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9795 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9795/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9795/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9795/events | https://github.com/langchain-ai/langchain/pull/9795 | 1,868,010,485 | PR_kwDOIPDwls5Y2IPU | 9,795 | Add ChatGLM API for llm and chat_model | {
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```
endpoint_url = API URL
ChatGLM_llm = ChatGLM(
endpoint_url=endpoint_url,
api_key=Your API Key by ChatGLM
)
print(ChatGLM_llm("hello"))
```
```
model = ChatChatGLM(
chatglm_api_key="api_key",
chatglm_api_base="api_base_url",
model_name="model_name"
)
chain = LLMChai... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9794 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9794/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9794/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9794/events | https://github.com/langchain-ai/langchain/pull/9794 | 1,867,985,069 | PR_kwDOIPDwls5Y2DGV | 9,794 | docs: Fix a spelling mistake in adding_memory.ipynb | {
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This pull request fixes a small spelling mistake found while reading docs.
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https://api.github.com/repos/langchain-ai/langchain/issues/9793 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9793/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9793/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9793/events | https://github.com/langchain-ai/langchain/pull/9793 | 1,867,952,779 | PR_kwDOIPDwls5Y18cC | 9,793 | Bugfix/jsonloader metadata | {
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... | closed | false | null | [] | null | 1 | 2023-08-26T07:24:09 | 2023-09-03T23:01:43 | 2023-09-03T23:01:43 | CONTRIBUTOR | null | Hi,
- Description:
- Solves the issue #6478.
- Includes some additional rework on the `JSONLoader` class:
- Getting metadata is decoupled from `_get_text`
- Validating metadata_func is perform now by `_validate_metadata_func`, instead of `_validate_content_key`
- Issue: #6478
- Dep... | {
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- "VectorStore" and "vectorstore" changed to "vector store" for consistency
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Gmail message retrieval in GmailGetMessage and GmailSearch returned an empty string when encountering multipart emails. This change correctly extracts the email body for multipart emails.
Dependencies: None
@hwchase17 @vowelparrot
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@baskaryan , @eyurtsev | {
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Colab environment
LangChain version: 0.0.152
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] O... | {
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Hi, Actually exists a document loader for Google Drive in the Python version, I would like to propose this feature in the javascript version, it is important to our company.
### Motivation
Hi, Actually exists a document loader for Google Drive in the Python version, I would like to propose this f... | {
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ConversationalChatAgent prompt contains JSON examples nested in triple-ticked codeblocks.
When response contains a triple-ticked codeblock, this breaks the response.
PR updates prompt to use quadruple-ticked code blocks, enabling responses to incl... | {
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pydantic==1.10.12
langchain==0.0.271
System: MacOS Ventura 13.5 (22G74)
Python 3.9.6
### Who can help?
@hwchase17 @agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
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Some urls will return status code 403 if the right headers are not passed to the requests.get(path) function. My workaround was to provide the headers of that website to get the approval from the server. Would be great to be able to pass headers to PyMuPDFLoader and all the other web based document... | {
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LangChain version 0.0.273
Python version 3.8.10
Ubuntu 20.04.5 LTS
### Who can help?
@hwchase17
### Information
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"... | closed | false | null | [] | null | 5 | 2023-08-25T18:16:29 | 2023-08-26T01:10:33 | 2023-08-26T01:10:33 | CONTRIBUTOR | null | <!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- Description: Updated the regex to handle all the different cases for string matching (SOURCES, sources, Sources),
- Issue: https://github.com/langchain-ai/langchain/issues/9774
- Dependencies: N/A
- Tag maintainer: for a q... | {
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I've noticed that the retrieval qa chain doesn't always return SOURCES, it sometimes returns "Sources", "sources" or "source". | {
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Right now, the Sagemaker Inference Endpoint LLM does not allow for async requests and it's a performance bottleneck.
I have an API gateway set up such that I have a restful api endpoint backed by the sagemaker inference endpoint.
In an ideal world:
1. Langchain should allow for ar... | {
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- Using Poetry as a dependency and virtualenv manager is helpful, but requires a different workflow within a Jupyter Notebook context
[Link to rendered Notebook for easier review.](https://github.com/langchain-ai/langchain/blob/dc331e33695... | {
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- Issue: N/A
- Twitter handle: MonamiSharma
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The issue with PySpark messages is that they could become quite lengthy and after some iterations they could potentially causing problems with token limits. In this context, I would like to initiate a discussion about this topic and explore potential solutions.
### Suggestion:
My... | {
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Description: It is a wrapper around docker python library, allowing to pull/build docker images with ability to run and execute command in a container. It is a low-level building block which allows to isolate execution and constrain resources - should allow to improve security a bit after integration with ... | {
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We added different Tools to empower agents with new capabilities :
- text: explicit content detection
- image: explicit content detection
- image: object detection
- OCR: invoice parsing
- OCR: ID parsing
- audio: speech to text
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LangChain version : 0.0.273
Python version : 3.10.8
Platform : macOS 13.5.1
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_No response_
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llama-cpp-python==0.1.78
chromadb==0.3.22
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### Who can help?
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"id": 56... | closed | false | null | [] | null | 3 | 2023-08-25T13:08:16 | 2023-08-25T13:27:22 | 2023-08-25T13:27:06 | NONE | null | ### System Info
- LangChain version: 0.0.105
- Platform: Macbook Pro M1 - Mac OS Ventura
- Node.js version: v18.17.1
- qdrant/js-client-rest: 1.4.0
### Who can help?
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ]... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9759 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9759/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9759/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9759/events | https://github.com/langchain-ai/langchain/pull/9759 | 1,867,001,703 | PR_kwDOIPDwls5Yyu-c | 9,759 | Synthetic data generation | {
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Implements synthetic data generation with the fields and preferences given by the user. Adds showcase notebook.
Corresponding prompt was proposed for langchain-hub.
### Example
```
output = chain({"fields": {"colors": ["blue", "yellow"]}, "preferences": {"style": "Make it in a style of a weat... | {
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Hello,
have two separate docker images as follows.
1. for the purpose of Loading documents and then tokenizing and creating embeddings and storing in Vector store DB like this `vector_store_db:Weaviate = weaviateInstance.from_documents(documents, self.embeddings, by_text=False) `
2.... | {
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Hey wanted to request a feature within the map-reduce chain where a person can send his own list of chunks data of a corpus instead of creating chunks of data based on sending a textsplitter and a corpus.
### Motivation
Sometime one might see map-reduce cases where one wants to use their own chun... | {
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- Update `CustomLLM._call`: Corrected the _call method in CustomLLM to include **kwargs, ensuring consistency with parent class.
- Update `QA over Documents`: To fix `Page not found` error
- https://python.langchain.com/docs/use_cases/tabular -> https://python.langchain.com/docs/use_cases/sql
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... | closed | false | null | [] | null | 1 | 2023-08-25T11:07:50 | 2023-09-04T03:29:42 | 2023-09-04T03:29:41 | CONTRIBUTOR | null | Hi,
I noticed a typo in the local_llms.ipynb file and fixed it. The word challenge is without 'a' in the original file.
@baskaryan , @eyurtsev
Thanks. | {
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Add a 'download_dir' argument to VLLM model (to change the cache download directotu when retrieving a model from HF hub)
- Issue:
On some remote machine, I want the cache dir to be in a volume where I have space (models are heavy nowadays). Sometimes the default HF cache dir might not be what we want.... | {
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can i load my local model by chain = LLMChain(llm=chat, prompt=chat_prompt)
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9750 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9750/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9750/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9750/events | https://github.com/langchain-ai/langchain/issues/9750 | 1,866,661,448 | I_kwDOIPDwls5vQv5I | 9,750 | Prolonged execution times when using ConversationChain and ChatOpenAI | {
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## Description:
### Context:
I'm using LangChain to develop an application that interacts with the gpt-3.5-turbo-16k model to handle long chains of up to 16384 tokens.
### Problem:
While the first message processes quickly **(specially if i have not previues context in the inputs)**, from the s... | {
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... | closed | false | null | [] | null | 3 | 2023-08-25T09:03:10 | 2023-12-14T16:06:33 | 2023-12-14T16:06:32 | NONE | null | ### Discussed in https://github.com/langchain-ai/langchain/discussions/9605
<div type='discussions-op-text'>
<sup>Originally posted by **nima-cp** August 22, 2023</sup>
Hello everyone, I wanna have a Q&A over some documents including pdf, xml and csv. I'm having some difficulty to write a DirectoryLoader for dif... | {
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I would like to have BambooHR Tool here(https://python.langchain.com/docs/integrations/tools/).
To make it possible to request information about employees within the company, their vacations, and so on.
### Motivation
BambooHR is quite a popular service, so I believe this tool will be used a l... | {
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... | closed | false | null | [] | null | 4 | 2023-08-25T08:42:02 | 2023-12-01T16:07:23 | 2023-12-01T16:07:22 | NONE | null | Hi, I would like to build a chat bot to support multple users to access the chat bot.
Since the llm model size is very big, my VRAM can only load only one copy of LLM.
I would like to know if there is any way to load the model once and multiple access concurrently.
Here is what I just tried.
I tried to create t... | {
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... | closed | false | null | [] | null | 0 | 2023-08-25T07:46:15 | 2023-08-28T08:18:56 | 2023-08-28T08:18:56 | CONTRIBUTOR | null | ### Feature request
1. Ideally, current `input_variables` should be separated into `required_variables` and `allowed_variables`
2. `allowed_variables` should consist of `required_variables` + `optional_variables`
3. Current implementation of `format_document` requires some overhaul, as suggested by #7239. Since... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9745 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9745/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9745/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9745/events | https://github.com/langchain-ai/langchain/pull/9745 | 1,866,480,477 | PR_kwDOIPDwls5Yw8ik | 9,745 | Fix: when only config custom evaluators, the keys(input_key,prediction_key,reference_key) config will be lost | {
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... | closed | false | null | [] | null | 3 | 2023-08-25T07:17:30 | 2023-08-31T04:43:28 | 2023-08-31T04:43:28 | NONE | null | * Description: When only use custom evaluators, Will meet ` Could not map run {which} with multiple keys {source} \n Please manually specify a {which}_key` ERROR from `ChainStringRunMapper`. Because the configuration of the keys(input_key,prediction_key,reference_key) are initialized only when `config.evaluators`... | {
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As stated in the title, the query is returning, but not the relevant documents. The code snippet below illustrates the issue:
```python
query = 'building bridges'
filter = Comparison(comparator=<Comparator.EQ: 'eq'>, attribute='construction_material', value='steel')
limit = None
[]
```
I k... | {
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@baskaryan , @eyurtsev
Thanks
Aashish Saini | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9738 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9738/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9738/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9738/events | https://github.com/langchain-ai/langchain/pull/9738 | 1,866,265,317 | PR_kwDOIPDwls5YwM2y | 9,738 | Fix QuestionListOutputParser | {
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... | closed | false | null | [] | null | 2 | 2023-08-25T04:36:12 | 2023-08-25T08:47:17 | 2023-08-25T08:47:17 | CONTRIBUTOR | null | This PR fixes `QuestionListOutputParser` text splitting.
`QuestionListOutputParser` incorrectly splits numbered list text into lines. If text doesn't end with `\n` , the regex doesn't capture the last item. So it always returns `n - 1` items, and `WebResearchRetriever.llm_chain` generates less queries than requested... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9737 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9737/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9737/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9737/events | https://github.com/langchain-ai/langchain/pull/9737 | 1,866,264,892 | PR_kwDOIPDwls5YwMw7 | 9,737 | add twitter chat loader doc | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9735 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9735/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9735/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9735/events | https://github.com/langchain-ai/langchain/issues/9735 | 1,866,229,858 | I_kwDOIPDwls5vPGhi | 9,735 | Issue: Error in Similarity Search with MongoDB Vector Store in Langchain | {
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I've been using Langchain to connect with the MongoDB vector store. While the file upload functionality works seamlessly, I encounter an error when trying to use the similarity search feature. Here's the error message I receive:
![image](https://github.com/langchain-ai/langchain/assets/... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9734 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9734/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9734/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9734/events | https://github.com/langchain-ai/langchain/pull/9734 | 1,866,199,668 | PR_kwDOIPDwls5Yv-zH | 9,734 | docs: misc modelIO fixes | {
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- Changed "Chat Model" to "chat model" in a few spots for internal consistency
- Minor spelling & grammar fixes to improve readability & comprehension | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9733 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9733/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9733/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9733/events | https://github.com/langchain-ai/langchain/issues/9733 | 1,866,186,574 | I_kwDOIPDwls5vO79O | 9,733 | AWS Sagemaker | {
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... | closed | false | null | [] | null | 9 | 2023-08-25T02:57:42 | 2023-12-01T16:07:32 | 2023-12-01T16:07:32 | NONE | null | ### System Info
Hi, I'm getting the following error with Langchain integration with AWS Sagemaker:
`ValueError: Error raised by inference endpoint: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received client error (424) from primary with message "{
"code":424,
"message":"predictio... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9732 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9732/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9732/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9732/events | https://github.com/langchain-ai/langchain/issues/9732 | 1,866,073,423 | I_kwDOIPDwls5vOgVP | 9,732 | `Chatbots` use case example is not working | {
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"id": 56... | closed | false | null | [] | null | 3 | 2023-08-25T00:48:21 | 2023-12-02T16:05:42 | 2023-12-02T16:05:41 | NONE | null | ### System Info
Langchain version: 0.0.271
Platform: Ubuntu 20.04
Device: Nvidia-T4
Python version: 3.9.17
### Who can help?
@hwchase17 @agola11
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] E... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9731 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9731/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9731/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9731/events | https://github.com/langchain-ai/langchain/pull/9731 | 1,866,022,327 | PR_kwDOIPDwls5YvYlp | 9,731 | Hub Push Ergonomics | {
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Improves the hub pushing experience, returning a url instead of just a commit hash.
Goes with hub sdk 0.1.8 | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9728 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9728/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9728/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9728/events | https://github.com/langchain-ai/langchain/issues/9728 | 1,866,002,041 | I_kwDOIPDwls5vOO55 | 9,728 | Langchain agent doesn't complete reasoning sequence stops halfway and can't use structured tools | {
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langchain==0.0.271
### Who can help?
@hwchase17 @agola11
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9727 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9727/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9727/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9727/events | https://github.com/langchain-ai/langchain/pull/9727 | 1,866,001,085 | PR_kwDOIPDwls5YvUD8 | 9,727 | Enable grammars for JSON, list w/ LLaMA | {
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... | closed | false | null | [] | null | 2 | 2023-08-24T23:01:16 | 2023-08-29T15:23:49 | 2023-08-29T15:23:49 | COLLABORATOR | null | Takes feedback from [here](https://github.com/abetlen/llama-cpp-python/issues/637#issuecomment-1692459836).
And builds on [here](https://github.com/langchain-ai/langchain/pull/9712).
I needed to modify `json.gbnf` to get it to work properly (else, it does not stop, and repeats newlines).
I check it in temporar... | {
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Hi there,
Currently using PGVector you can pass a filter object. But this filter object only allows key value pairs.
`Dict[str, str].
`
I am requesting the ability to also send a list of strings for easy filter across many pieces of data.
`Dict[str, list[str]]
`
### Motivation
... | {
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- `return_full_text` - sometimes useful for completion tasks
- `do_sample` - quite handy to control the randomness of the model.
- `watermark`
@hwchase17 @baskaryan | {
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And if you are below you get 3.4 "pyspark is not installed. Please install it with pip nstall pyspark" which is not helpful. Also if you not have pyspark installed you get already the error in... | {
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Replace this entire comment with:
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- 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... | {
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I have added a Jupyter Notebook with a simple and a more complex example using an agent.
To run the integration test, you need to execute something l... | {
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Langchain Version: 0.0.258
Python Version 3.8.10
Ubuntu 20.04.5 LTS
We are following the instructions from the blog posted at https://python.langchain.com/docs/use_cases/question_answering/
We find that this works on small documents/directories. However when we run it on larger data sets, we... | {
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... | closed | false | null | [] | null | 1 | 2023-08-24T19:48:47 | 2023-08-24T21:28:08 | 2023-08-24T21:27:57 | CONTRIBUTOR | null | Description: The issue is you can not run spark_sql with a version below 3.4, because pyspark.errors is added in 3.4.
And if you are below you get 3.4 "pyspark is not installed. Please install it with `pip nstall pyspark`" which is not helpful. Also if you not have pyspark installed you get already the error in __ini... | {
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It looks like it's creating new dataframes to answer complex questions, but in the answer it provides it keeps referencing the variable name rather than the printed variable.
Does the current agent not have the ability to create and use new variables?
Note: I'm using the CSV agent ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9713 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9713/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9713/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9713/events | https://github.com/langchain-ai/langchain/pull/9713 | 1,865,612,735 | PR_kwDOIPDwls5Yt_Pp | 9,713 | Add Code LLaMA to code QA use case | {
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The following PR enables the [grammar-based sampling](https://github.com/ggerganov/llama.cpp/tree/master/grammars) in llama-cpp LLM.
In short, loading file with formal grammar definition will constrain model outputs. For instance, one can force the model to generate valid JSON or generate only pyt... | {
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Replace this entire comment with:
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- Issue: the issue # it fixes (if applicable),
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https://api.github.com/repos/langchain-ai/langchain/issues/9708 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9708/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9708/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9708/events | https://github.com/langchain-ai/langchain/pull/9708 | 1,865,407,010 | PR_kwDOIPDwls5YtSbQ | 9,708 | Chat Loaders | {
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... | closed | false | null | [] | null | 1 | 2023-08-24T15:29:06 | 2023-08-25T00:23:28 | 2023-08-25T00:23:27 | COLLABORATOR | null | Still working out interface/notebooks + need discord data dump to test out things other than copy+paste
Update:
- Going to remove the 'user_id' arg in the loaders themselves and just standardize on putting the "sender" arg in the extra kwargs. Then can provide a utility function to map these to ai and human message... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9707 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9707/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9707/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9707/events | https://github.com/langchain-ai/langchain/issues/9707 | 1,865,405,504 | I_kwDOIPDwls5vL9RA | 9,707 | ParentDocumentRetriever doesn't implement BaseRetriever._aget_relevant_documents | {
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LangChain Version: 0.0.271, Python 3.11
Like the title says, _aget_relevant_documents isn't implemented in ParentDocumentRetriever so async calls are not working. It throws an NotImplementedError in BaseRetriever:
```
async def _aget_relevant_documents(
self, query: str, *, run_manag... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9706 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9706/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9706/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9706/events | https://github.com/langchain-ai/langchain/pull/9706 | 1,865,397,426 | PR_kwDOIPDwls5YtQVM | 9,706 | Qdrant Client: Expose instance for creating client | {
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The purpose of this PR is to make it easy for users to initialize an empty vectorstore that's properly pre-configured without having to index documents into it via `from_documents`.
This will make it easier for users to rely on the following indexing co... | {
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Replace this entire 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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