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When I call Llam2-70b-chat model using conversation chain, I got very short response from the model. But if I use LLMChain to call the model, it can give me a long response. So, is there any thing cut off or limit the response length in conversation chain? The model parameter about max_... | {
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Hi,
I am using Langchain and LlamaCpp to load my models.
I have set "`mirostat`" and "`repitition_penalty`" in my model params and recently I am getting the following UserWarning:
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- **Issue:** https://github.com/langchain-ai/langchain/issues/12165
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- **Tag maintainer:** @eyurtsev
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"url... | closed | false | null | [] | null | 2 | 2023-11-29T04:59:14 | 2023-11-29T05:20:31 | 2023-11-29T05:20:31 | CONTRIBUTOR | null | - **Description:** update minimal supported langchain version for [mongodb atlast integration webpage](https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas)
- **Issue:** none
- **Dependencies:** none
-----
Just fixing a typo.
In [mongodb atlas vectorstore integration page](https://python.... | {
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... | closed | false | null | [] | null | 1 | 2023-11-29T03:31:24 | 2023-12-02T02:23:42 | 2023-12-02T02:23:41 | COLLABORATOR | null | * Add support for passing a specific file to the file system blob loader
* Allow specifying a class parameter for the parser for the generic loader
```python
class AudioLoader(GenericLoader):
@staticmethod
def get_parser(**kwargs):
return MyAudioParser(**kwargs):
```
The intent of the GenericLoad... | {
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[Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves](https://arxiv.org/abs/2311.04205)
",,,RaR is complementary to CoT and can be combined with CoT to achieve even better performance,,,"
- interesting prompt technique.
Could be implemented with LangChain.
### M... | {
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Who can review?
@baskaryan , @eyurtsev , @hwchase17
Integrated Stack Exchange API into Langchain, enabling access to diverse communities within the platform. This addition enhances Langchain's capabilities by allowing users to query St... | {
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- Added this reference
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- added these references | {
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- **Twitter handle:** @vladkol
## Improvements
- Dynamic batch size, starting from 250, lowering down to 5. Batch size varies across regions.
Some regions support larger batches, and it significantly improves performance.
When running large bat... | {
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- **Dependencies:** These models do depend on the AI Playground services in NVIDIA NGC. API keys with a significant amount of trial compute are available (10K queries as of the time of writing).
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Streamlit tutorial suggests
```
from langchain.memory import ConversationBufferMemory
from langchain.memory.chat_message_histories import StreamlitChatMessageHistory
# Optionally, specify your own session_state key for storing messages
msgs = StreamlitChatMessageHistory(key... | {
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Code
db_chain = SQLDatabaseChain.from_llm(llm, db, verbose=True, return_sql=False, use_query_checker=True, prompt=prompt_template)
db_chain.run("What are some recently added dockets and their title?")
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Replace this entire comment with:
- **Description:** Audio file loader implemented with Azure speech service
- **Issue:** No,
- **Dependencies:** azure-cognitiveservices-speech,
- **Tag maintainer:** kzmain (see below),
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Hi there,
Before I was using local pickle files as the source of storage of my PDFs and chat history. And now I am moving into next step where I want to using Pinecone as my vector database to store these. I have made couple changes and they are not working and giving my error messag... | {
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This PR includes a connector for using the [Nvidia TensorRT LLM](https://developer.nvidia.com/tensorrt) which allows for accelerated LLM optimization and performance.
**Issue**: This closes #13975
**Dependencies**:
triton-client library was added to pyproject.toml | {
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NVIDIA TensorRT is an open-source SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications. I propose that a connector be added to langchain allowing users to use TensorRT with... | {
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Currently, the extraction chain only supports the extraction of an Array of object.
For example
```python
from typing import Optional
from langchain.chains import create_extraction_chain_pydantic
from langchain.pydantic_v1 import BaseModel
# Pydantic data class
class Properties(Bas... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13970 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13970/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13970/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13970/events | https://github.com/langchain-ai/langchain/issues/13970 | 2,014,540,587 | I_kwDOIPDwls54E3Mr | 13,970 | AttributeError: module 'typing_extensions' has no attribute 'deprecated' when using ChatOpenAI | {
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hi!
im getting this error 👍
`AttributeError Traceback (most recent call last)
File <command-3819272873890469>, line 7
1 # gpt-3.5-turbo-0613
2 # gpt-3.5-turbo-1106
3 # gpt-4
4 # gpt-4-1106-preview
5 llm_model = "gpt-3.5-turbo-1106"... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13969 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13969/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13969/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13969/events | https://github.com/langchain-ai/langchain/issues/13969 | 2,014,537,056 | I_kwDOIPDwls54E2Vg | 13,969 | OutputParserException in extraction use case | {
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... | open | false | null | [] | null | 1 | 2023-11-28T14:13:25 | 2023-11-28T14:21:35 | null | NONE | null | ### System Info
Hi, i'm obtaining this error trace when performing a basic `create_extraction_chain` example.I'm using CTransformers (llama2 type), more specifically, this model here: https://huggingface.co/clibrain/Llama-2-13b-ft-instruct-es-gguf
Python version: 3.11
Environment:
```
accelerate 0... | {
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"node_id... | closed | false | null | [] | null | 2 | 2023-11-28T13:57:21 | 2023-11-30T11:03:08 | 2023-11-30T11:03:07 | NONE | null | ### System Info
**python:** 3.11.6
**langchain:** 0.0.335
**openai:** 0.28.1
### Who can help?
_No response_
### Information
- [ ] 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/13967 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13967/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13967/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13967/events | https://github.com/langchain-ai/langchain/issues/13967 | 2,014,447,411 | I_kwDOIPDwls54Egcz | 13,967 | Issue: Passing context(previous question and answer) to the create_pandas_dataframe_agent function. | {
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"node_id... | open | false | null | [] | null | 16 | 2023-11-28T13:30:17 | 2023-12-01T11:30:15 | null | NONE | null | ### Issue you'd like to raise.
Hello Team,
We are finding a way to pass the context, previous question and answer to **create_pandas_dataframe_agent**. Can u please help me understand how i can pass the context(previous question and answer) to the **create_pandas_dataframe_agent**. it will be helpful if you have any ... | {
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"url... | closed | false | null | [] | null | 2 | 2023-11-28T13:21:42 | 2023-12-04T20:27:57 | 2023-12-04T20:27:57 | CONTRIBUTOR | null | ### **Description**
Hi, I just started learning the source code of `langchain` and hope to contribute code. However, according to the instructions in the [CONTRIBUTING.md](https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md) document, I could not run the test command `make test` to run norm... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13965 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13965/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13965/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13965/events | https://github.com/langchain-ai/langchain/pull/13965 | 2,014,383,567 | PR_kwDOIPDwls5gjSA9 | 13,965 | Update CONTRIBUTING.md doc | {
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"url... | closed | false | null | [] | null | 1 | 2023-11-28T12:58:15 | 2023-11-29T00:32:26 | 2023-11-29T00:32:26 | CONTRIBUTOR | null | - **Description:** The new demo notebook should be placed in [docs/docs/modules](https://github.com/langchain-ai/langchain/tree/master/docs/docs/modules)
- **Twitter handle:** lin_bob57617
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https://api.github.com/repos/langchain-ai/langchain/issues/13964 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13964/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13964/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13964/events | https://github.com/langchain-ai/langchain/issues/13964 | 2,014,369,520 | I_kwDOIPDwls54ENbw | 13,964 | Why does FAISS similarity search not fetch data with respect to alphanumeric keys like ORA-14300? | {
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"id": 56... | open | false | null | [] | null | 1 | 2023-11-28T12:50:29 | 2023-11-28T12:55:31 | null | NONE | null | ### Issue you'd like to raise.
**Summary:**
The FAISS similarity search in LangChain is encountering difficulties when processing alpha-numeric queries that involve numeric integers. While the search performs well for queries like "What are resolutions to problems related to SAF," it exhibits suboptimal behavior when... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13963 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13963/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13963/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13963/events | https://github.com/langchain-ai/langchain/issues/13963 | 2,014,310,258 | I_kwDOIPDwls54D-9y | 13,963 | Issue: Chroma.from_documents does not save metadata properly | {
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"id": 56... | open | false | null | [] | null | 4 | 2023-11-28T12:16:56 | 2023-12-01T22:24:59 | null | NONE | null | ### Issue you'd like to raise.
I create my vector db using the following code:
```
db = Chroma.from_documents(
chunked_documents,
embeddings,
persist_directory=db_path + '/' + db_type,
client_settings=chroma_settings,)
```
`chunked_documents` is a list of element... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13962 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13962/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13962/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13962/events | https://github.com/langchain-ai/langchain/pull/13962 | 2,014,276,204 | PR_kwDOIPDwls5gi6da | 13,962 | Remove `python_repl` from _BASE_TOOLS | {
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"node_id... | closed | false | null | [] | null | 1 | 2023-11-28T11:57:14 | 2023-11-29T01:13:55 | 2023-11-29T01:13:55 | CONTRIBUTOR | null | ### **Description:**
Previously `python_repl` was a built-in tool, but now it has been moved to `langchain_experimental`.
When I use `load_tools` I get an error:
```python
In [1]: from langchain.agents import load_tools
In [2]: load_tools(["python_repl"])
--------------------------------------------------... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13961 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13961/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13961/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13961/events | https://github.com/langchain-ai/langchain/issues/13961 | 2,014,263,985 | I_kwDOIPDwls54Dzqx | 13,961 | Enable Limit False in Self Query Retriever doesn't have the expected behavior | {
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"id":... | open | false | null | [] | null | 1 | 2023-11-28T11:50:02 | 2023-11-28T12:32:28 | null | NONE | null | ### System Info
I am using the SelfQueryRetriever class to make questions about a set of documents. It seems that there is an issue with the use of the `enable_limit` argument
Versions:
Langchain Version: 0.0.340
openai 1.3.5
### Who can help?
_No response_
### Information
- [ ] The official examp... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13960 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13960/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13960/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13960/events | https://github.com/langchain-ai/langchain/pull/13960 | 2,014,219,392 | PR_kwDOIPDwls5giuKz | 13,960 | Fixes for opengpts release | {
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Replace this entire comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/13958 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13958/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13958/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13958/events | https://github.com/langchain-ai/langchain/issues/13958 | 2,014,030,020 | I_kwDOIPDwls54C6jE | 13,958 | ImportError: cannot import name 'agenerate_from_stream' from 'langchain_core.language_models.chat_models' | {
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... | closed | false | null | [] | null | 5 | 2023-11-28T09:40:11 | 2023-11-29T13:33:23 | 2023-11-29T13:33:22 | CONTRIBUTOR | null | ### System Info
Current LangChain master commit:
https://github.com/langchain-ai/langchain/commits/391f200
### Who can help?
@hwchase17 @baskaryan
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [... | {
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"url... | closed | false | null | [] | null | 1 | 2023-11-28T08:52:02 | 2023-11-28T17:23:44 | 2023-11-28T17:23:43 | COLLABORATOR | null | Using the published version means master is broken for contributors whenever we make changes in one lib that depend on the other.
<!-- Thank you for contributing to LangChain!
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https://api.github.com/repos/langchain-ai/langchain/issues/13956 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13956/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13956/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13956/events | https://github.com/langchain-ai/langchain/issues/13956 | 2,013,904,967 | I_kwDOIPDwls54CcBH | 13,956 | Issue: Question about Deletion of Embeddings for Confluence Spaces | {
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"id":... | open | false | null | [] | null | 5 | 2023-11-28T08:26:59 | 2023-11-28T11:41:36 | null | NONE | null | ### Issue you'd like to raise.
I'm currently working on a project and have encountered an issue with the deletion functionality for Confluence
Spaces. I've implemented a function delete_embeddings that is supposed to delete embeddings based on the Confluence space key, but it doesn't seem to be working as expected... | {
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"id": 56... | open | false | null | [] | null | 2 | 2023-11-28T08:15:46 | 2023-11-28T19:55:11 | null | NONE | null | ### Feature request
PGVector in Langchain does not support advance metadata filtering such as "OR" clause.
For now, there is no way to perform filters such as:
```
{
"$or": [
{"uploaded_by": {"$eq": "USER1"}},
{"org": {"$eq": "ORG"}},
]
}
```
### Motivation
Our team is unable to use langchain ... | {
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I'm currently working on a project and have encountered an issue with the deletion functionality for Confluence Spaces. I've implemented a function `delete_embeddings` that is supposed to delete embeddings based on the Confluence space key, but it doesn't seem to be working as expected... | {
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I was hoping to use the Dropbox document loader for a large number of pdf and some docx documents, however I am not sure whether this loader supports these file types. I followed the instructions on https://python.langchain.com/docs/integrations/document_loaders/dropbox and instal... | {
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To train data in Pinecone, I used the function.
_pinecone = Pinecone.from_documents(docs, self.embeddings, index_name=self.index_name)
all the parameters have values always:
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- **Issue:** #12773
- **Dependencies:** None | {
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this is intput token (import pandas as pd
import json
from IPython.display import Markdown, display
from langchain.agents import create_csv_agent
from langchain.chat_models import ChatOpenAI
from langchain.llms import OpenAI
import os
os.environ["OPENAI_API_KEY"] = ""
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Issue: Baichuan api key was exposed when printing out the langchain object(https://github.com/langchain-ai/langchain/issues/12165)
Tag maintainer: @eyurtsev | {
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machine: mackbook pro Sonoma 14.1.1
package:
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openai = "^0.28.1"
pandas = "^2.1.1"
ipython = "^8.16.0"
langchain = "^0.0.306"
python-dotenv = "^1.0.0"
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torch = "^2.1.0"
transformers = "^4.35.2"
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We added slack toolkit to lang chain.
Slack tools:
- get_message: get message history in a channel
- send_message: send a message on user's or bot's behalf to a channel
- get_channel: get a summary of all channels in workspace
Example: docs/integrations/toolkits/slack.ipy... | {
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langchain 0.0.340
### Who can help?
@hwchase17 @agola11
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] D... | {
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- **Tag maintainer:** @baskaryan | {
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It seems like that the agent can only take one variable "input".
I would like to create an agent with a custom prompt template that takes multiple variables whenever a user types something. like agent_executor.invoke({"input": "what is my name", "example":example, "user_profile":user_pr... | {
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trying building devcontainer following steps in doc ~/langchain/.devcontainer/README.md, but stuck at step10/11
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When utilizing the create_sql_agent module by LangChain to interact with a SQL database and generate SQL queries from natural language, I've encountered an issue with the responses. Currently, when I execute queries, the SQL Agent responds with placeholder information, citing security ... | {
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Allow intercepting agents' final answers and reporting any feedback on the final answers to the agents without ending the agent execution chain.
This will enable users to, for example, run validations on the final answer (e.g. whether the answer contains some keywords) or agent's state (whether ... | {
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Follows my implementation of gradient.ai.
Feedback 1: Well done - I love your CI / repo / poetry setup - I adapted a lot in https://github.com/michaelfeil/infinity... | {
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I'm trying to do something and I haven´t found enough information on the internet to make it work properly with Langchain. Here it is:
I want to develop a QA chat using pdfs as knowledge source, using as relevant documents the ones corresponding to a certain pdf that the user will choose with a selec... | {
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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,
- **Tag maintainer:** for a quicker response, tag the relevant... | {
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"followers_url": "https://api.github.c... | null | 1 | 2023-11-27T16:46:41 | 2023-11-28T23:15:59 | 2023-11-28T23:15:58 | CONTRIBUTOR | null | This is a template demonstrating how to utilize Google Sensitive Data Protection in conjunction with ChatVertexAI(). Tagging you @efriis as you reviewed my last template. :) Thanks!
Proof of successful execution:
![image](https://github.com/langchain-ai/langchain/assets/82172964/e4d678aa-85c8-482b-b09d-81fe7e912d... | {
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I have a project where I need to extract product details from product links online. What is the best url loader for this use case?
Also, for the previous links that I already appended to a csv file called "Lalal". How can I create embeddings only for the new URL link that I will extract so that I dont h... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13919 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13919/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13919/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13919/events | https://github.com/langchain-ai/langchain/pull/13919 | 2,012,634,605 | PR_kwDOIPDwls5gdTfY | 13,919 | Update azure_cosmos_db.py | {
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Issue: https://github.com/langchain-ai/langchain/issues/13918
Dependencies: None
Tag maintainer: @hwchase17 @izzymsft
Twitter handle:@MaddogoS
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Langchain all versions
### Who can help?
@hwchase17 @izzymsft
### Information
- [X] The official example notebooks/scripts
- [ ] 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/13917 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13917/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13917/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13917/events | https://github.com/langchain-ai/langchain/pull/13917 | 2,012,614,744 | PR_kwDOIPDwls5gdPKj | 13,917 | fixed VertexAIModelGarden class | {
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... | closed | false | null | [] | null | 1 | 2023-11-27T16:07:27 | 2023-11-27T18:31:54 | 2023-11-27T18:31:54 | CONTRIBUTOR | null | Replace this entire comment with:
- **Description:** added support for various OSS images from Model Garden
- **Issue:** #13370
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... | open | false | null | [] | null | 1 | 2023-11-27T16:04:01 | 2023-11-27T16:04:21 | null | NONE | null | ### Feature request
I propose the addition of a new feature, a BinaryPyPdf loader, to the existing Langchain document loaders. This loader is designed to handle PDF files in a binary format, providing a more efficient and effective way of processing PDF documents within the Langchain project.
### Motivation
As a Lan... | {
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... | closed | false | null | [] | null | 2 | 2023-11-27T15:12:21 | 2023-11-27T22:20:47 | 2023-11-27T22:20:46 | NONE | null | Fix the bug where ChatOpenAI().openai_proxy = HTTP_PROXY is not effective.
Reproduce&Test:
from langchain.chat_models import ChatOpenAI
llm = ChatOpenAI()
llm.openai_proxy = "http://127.0.0.1:8001"
llm.predict("Hello")
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- *... | {
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Hey 👋🏽 this is a small docs example fix. Hoping it helps future developers who are working with Langchain.
### Problem:
Take a look at the original example code. You were not able to get the `dialogue_turn[0]` while it was a tuple.
Original code:
```python
def _format_chat_history(chat_hi... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13912 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13912/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13912/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13912/events | https://github.com/langchain-ai/langchain/issues/13912 | 2,012,359,254 | I_kwDOIPDwls538ipW | 13,912 | poetry install --with test issue | {
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... | closed | false | null | [] | null | 2 | 2023-11-27T14:07:30 | 2023-11-27T23:07:40 | 2023-11-27T23:07:40 | NONE | null | ### System Info
You cannot run `poetry install --with test` on a fresh build:
```
╭─ username@comp ~/path/to/coding
╰─➤ cd langchain2
ls
╭─username@comp ~/path/to/langchain2 ‹master›
╰─➤ ls
CITATION.cff Makefile cookbook libs pyproject.toml
LICENSE README.md docker ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/13910 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/13910/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/13910/comments | https://api.github.com/repos/langchain-ai/langchain/issues/13910/events | https://github.com/langchain-ai/langchain/pull/13910 | 2,012,084,381 | PR_kwDOIPDwls5gbbPc | 13,910 | Pprados/rag vectorstore | {
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"id": 56... | open | false | null | [] | null | 2 | 2023-11-27T11:38:43 | 2023-12-01T07:54:37 | null | CONTRIBUTOR | null | **Description:**
The `ParentDocumentRetriever` class provides the `add_documents()` methods, which may seem unconventional for a retriever.
This deviation arises from the need to establish and maintain connections between document fragments and their various iterations. Consequently, the `parent_splitter` and `chil... | {
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... |
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