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https://api.github.com/repos/langchain-ai/langchain/issues/9264 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9264/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9264/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9264/events | https://github.com/langchain-ai/langchain/issues/9264 | 1,851,997,057 | I_kwDOIPDwls5uYzuB | 9,264 | ImportError of lark when packaging a standalone application with PyInstaller | {
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When attempting to package my application using PyInstaller, I encounter an error related to the "lark" library. When trying to initiate the SelfQueryRetriever from langchain, I encounter the following problem:
> Traceback (most recent call last):
> File "test.py", line 39, in
> File "langchain\... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9263 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9263/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9263/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9263/events | https://github.com/langchain-ai/langchain/pull/9263 | 1,851,965,600 | PR_kwDOIPDwls5X_0ap | 9,263 | Added generic event handler for both tockens and functions calls | {
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Main motivation for this PR is to sync with JS langchain https://github.com/hwchase17/langchainjs/pull/2025
Added `on_event` callback that works for both token and openai function calls in streaming mode
Twitter: [@ShelfDev](https://twitter.com/ShelfDev)
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https://api.github.com/repos/langchain-ai/langchain/issues/9262 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9262/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9262/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9262/events | https://github.com/langchain-ai/langchain/issues/9262 | 1,851,915,394 | I_kwDOIPDwls5uYfyC | 9,262 | intermediate_steps missing last thought content | {
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Problem:
The intermediate_steps don't contain last `AI thought information`. Did I do anything wrong or was that a bug?
Or is there anything I can do to extract the last `AI thought information`?
Code:
```
agent = initialize_agent(
[self.search_tool, self.wikipedia_tool],
... | {
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Langchain version 0.0.265
Python 3.11.4
### Who can help?
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt 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 maintainer (see... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9259 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9259/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9259/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9259/events | https://github.com/langchain-ai/langchain/pull/9259 | 1,851,770,382 | PR_kwDOIPDwls5X_K5d | 9,259 | Update documentation for the Context integration with new URL and features | {
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We've moved from getcontext.ai to context.ai \o/
Thanks in advance for the review! | {
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This PR is to complete todo in 'langchain/vectorstores/elastic_vector_search.py' that want use bulk to complete Elasticsearch batch deletion.
By the way: this PR is passing linting and testing before submitting. already run `make format`, `make lint` and `make test` locally. | {
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Replace this entire comment with:
- Description: I have added documentation on how to create a remote instance of chromadb on AWS, store the documents in it, retrieve the documents from it and then query them using chains,
- Issue: NA,
- Dependencies: NA,
- Tag maintainer: @eyurtsev,
- Twitter handl... | {
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"id":... | closed | false | null | [] | null | 2 | 2023-08-15T15:31:15 | 2023-11-29T16:08:05 | 2023-11-29T16:08:04 | NONE | null | ### Feature request
cur version, milvus not support normalize_L2 of embedding, when can add this feature?
Thanks
### Motivation
Normalization and regularization of features can improve retrieval performance, and it is convenient to set thresholds when calculating similarity through inner product
### Your contrib... | {
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- mdx link update
- colab link update | {
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Tag maintainer: @Kunj-2206
Maintainer responsibilities:
Models / Prompts: @hwchase17, @baskaryan
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@hwchase17, @baskaryan
My test code is as follows.
```python
import asyncio
from langchain.callbacks import get_openai_callback
from langchain.chat_models import ChatOpenAI
from langchain.schema import (
HumanMessage,
SystemMessage
)
example_messages = [
SystemMessage(content="You ... | {
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I've added a notebook also to demonstrate capability. I've also added unit tests.
**Credit**
@elastic and @phoey1 on twitter.
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As shown in the figure, I hope that the `resp `variable can capture these outputs in each for loop, rather than displaying them on the console, What should I do? | {
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langchain = "^0.0.264"
python = "^3.10"
### Who can help?
@agola11 @hwchase17
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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python 3.11
langchain 0.0.263.
### Who can help?
@agol
### 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
- [ ] Do... | {
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... | closed | false | null | [] | null | 2 | 2023-08-15T04:43:55 | 2023-08-15T06:44:29 | 2023-08-15T06:44:29 | CONTRIBUTOR | null | Small bug fixes and added metadata based on user feedback. This PR is from the author of https://github.com/langchain-ai/langchain/pull/8873 . | {
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"id": 56... | closed | false | null | [] | null | 6 | 2023-08-15T04:01:30 | 2023-08-24T19:17:05 | 2023-08-21T19:51:15 | CONTRIBUTOR | null | [Epsilla](https://github.com/epsilla-cloud/vectordb) vectordb is an open-source vector database that leverages the advanced academic parallel graph traversal techniques for vector indexing.
This PR adds basic integration with [pyepsilla](https://github.com/epsilla-cloud/epsilla-python-client)(Epsilla vectordb python c... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9238 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9238/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9238/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9238/events | https://github.com/langchain-ai/langchain/pull/9238 | 1,850,837,483 | PR_kwDOIPDwls5X8Eui | 9,238 | docs: update LlamaCpp max_tokens args | {
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<!-- Thank you for contributing to LangChain!
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https://api.github.com/repos/langchain-ai/langchain/issues/9237 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9237/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9237/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9237/events | https://github.com/langchain-ai/langchain/issues/9237 | 1,850,835,440 | I_kwDOIPDwls5uUYHw | 9,237 | This is not a chat model and thus not supported in the v1/chat/completions endpoint. Did you mean to use v1/completions? | {
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def define_model(model_threshold):
get_no = np.random.randint(1, 11)
if int(model_threshold) >= get_no:
return "gpt-4-0613"
else:
return "gpt-3.5-turbo-16k-0613"
messages = get_chat_history_format(api_params=api_params)
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https://api.github.com/repos/langchain-ai/langchain/issues/9235 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9235/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9235/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9235/events | https://github.com/langchain-ai/langchain/issues/9235 | 1,850,779,448 | I_kwDOIPDwls5uUKc4 | 9,235 | Issue: load_summarization_chain in 'map_reduce' mode not breaking up document | {
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I'm using the load_summarization_chain with the type of 'map_reduce' in the following fashion:
```
summary_prompt = ChatPromptTemplate.from_template(
"Write a long-form summary of the following text delimited by triple backquotes. "
"Include detailed evidence ... | {
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I'm trying to use `MultiQueryRetriever` to generate variations on a question: it seems to work, but I can't use it inside a chain created with `load_qa_with_sources_chain()` because that generates a chain that expects a list of input_documents, rather than a retriever, and I don't want... | {
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Fix #8542 | {
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Tested locally with old and new Rockset python client
cc @baskaryan | {
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- Dependencies: N/A
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- Non-blocking but good to have it merged to improve the overall performance for the toolkit
@hinthornw @hwchase17 | {
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Replace this entire comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/9220 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9220/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9220/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9220/events | https://github.com/langchain-ai/langchain/pull/9220 | 1,850,458,856 | PR_kwDOIPDwls5X6x4F | 9,220 | Update Ollama docs | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9219 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9219/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9219/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9219/events | https://github.com/langchain-ai/langchain/issues/9219 | 1,850,451,609 | I_kwDOIPDwls5uS6aZ | 9,219 | Kernel dies for SVMRetriever with Huggingface Embeddings Model | {
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"id":... | closed | false | null | [] | null | 16 | 2023-08-14T19:59:31 | 2023-12-05T11:32:48 | 2023-11-23T16:06:29 | NONE | null | ### System Info
langchain==0.0.245
python==3.9
### Who can help?
@hw
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Docu... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9218 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9218/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9218/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9218/events | https://github.com/langchain-ai/langchain/issues/9218 | 1,850,424,838 | I_kwDOIPDwls5uSz4G | 9,218 | DOC: <Please write a comprehensive title after the 'DOC: ' prefix> | {
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In https://python.langchain.com/docs/use_cases/extraction, I can run this example using the ChatOpenAI method. However, within my organization, I want to use AzureChatOpenAI. However, the same example doesnt work here. The error I get is
```
InvalidRequestError: Unrecognized ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9217 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9217/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9217/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9217/events | https://github.com/langchain-ai/langchain/pull/9217 | 1,850,368,036 | PR_kwDOIPDwls5X6d86 | 9,217 | Remove packages for pydantic compatibility | {
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This PR updates LangChains poetry file to remove
any dependencies that aren't pydantic v2 compatible yet.
All packages remain usable under pydantic v1, and can be installed
separately.
## Bumping the following packages:
* langsmith
## Removing the following packages
not used in ext... | {
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... | closed | false | null | [] | null | 1 | 2023-08-14T18:34:16 | 2023-08-14T23:29:16 | 2023-08-14T23:28:39 | COLLABORATOR | null | Updated docstrings into the consistent format (probably, the last update for the `document_loaders`.
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- Issue: [the issue # it fixes (if applicable),](https://github.com/langchain-ai/l... | {
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... | closed | false | null | [] | null | 1 | 2023-08-14T18:11:53 | 2023-08-14T22:41:54 | 2023-08-14T22:41:53 | COLLABORATOR | null | 2 things:
- Implement the private method rather than the public one so callbacks are handled properly
- Add search_kwargs (Open to not adding this if we are trying to deprecate this UX but seems like as a user i'd assume similar args to the vector store retriever. In fact some may assume this implements the same inte... | {
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In document here - https://python.langchain.com/docs/integrations/llms/huggingface_textgen_inference#streaming
Streaming section, parameter **stream** should be **streaming**.
### Idea or request for content:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9209 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9209/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9209/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9209/events | https://github.com/langchain-ai/langchain/issues/9209 | 1,849,993,920 | I_kwDOIPDwls5uRKrA | 9,209 | Issue: Using custom_id with PGVector store | {
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Hi,
I have a pandas dataframe with a column name 'chunk_id'.
I want to use this chunk_id as the custom_id in the langchain_pg_embedding table.
The langchain documentation search bot tells me this is how I can do it.
```python
from langchain.vectorstores import PGVectorStore
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... | closed | false | null | [] | null | 1 | 2023-08-14T14:45:27 | 2023-08-15T17:21:13 | 2023-08-15T17:21:11 | COLLABORATOR | null | * PR updates test.yml to test with both pydantic versions
* Code should be refactored to make it easier to do testing in matrix format w/ packages
* Added steps to assert that pydantic version in the environment is as expected | {
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In [this](https://python.langchain.com/docs/use_cases/question_answering.html) documentation, there are broken links in the "further reading" section. The urls are not found.
### Idea or request for content:
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https://api.github.com/repos/langchain-ai/langchain/issues/9199 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9199/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9199/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9199/events | https://github.com/langchain-ai/langchain/issues/9199 | 1,849,630,816 | I_kwDOIPDwls5uPyBg | 9,199 | Issue: Amazon Bedrock Jurassic model responses getting truncated | {
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... | open | false | null | [] | null | 8 | 2023-08-14T11:53:57 | 2023-10-27T16:11:04 | null | NONE | null | ### Issue you'd like to raise.
When I create a Bedrock LLM Client for the Jurassic models - "ai21.j2-mid", "ai21.j2-ultra", the llm.invoke(query) methods are not returning with full results. The result seems to be getting truncated after first line.
It seems like the LLM Engine is streaming it's output but langch... | {
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"id": 56... | closed | false | null | [] | null | 4 | 2023-08-14T11:39:39 | 2023-08-15T22:57:03 | 2023-08-15T22:57:02 | CONTRIBUTOR | null | Updated Deep Lake Vector Store's examples to use latest up-to-date API also fixed deprecated embedding_function related warning
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https://api.github.com/repos/langchain-ai/langchain/issues/9197 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9197/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9197/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9197/events | https://github.com/langchain-ai/langchain/issues/9197 | 1,849,585,577 | I_kwDOIPDwls5uPm-p | 9,197 | _convert_message_to_dict doesn't handle FunctionMessage type | {
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... | closed | false | null | [] | null | 2 | 2023-08-14T11:24:44 | 2023-08-15T08:13:36 | 2023-08-15T08:12:29 | CONTRIBUTOR | null | ### System Info
langchain 0.0.263
python 3.9
### Who can help?
@hwchase17
@agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templa... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9195 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9195/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9195/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9195/events | https://github.com/langchain-ai/langchain/issues/9195 | 1,849,461,369 | I_kwDOIPDwls5uPIp5 | 9,195 | Passing filter through ConversationalRetrievalChain to the underlying vector store | {
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"id": 56... | open | false | null | [] | null | 15 | 2023-08-14T10:10:40 | 2023-11-14T18:30:45 | null | NONE | null | ### Feature request
It seems that right now there is no way to pass the filter dynamically on the call of the ConversationalRetrievalChain, the filter can only be specified in the retriever when it's created and used for all the searches.
```
qa = ConversationalRetrievalChainPassArgs.from_llm(
OpenAI(.... | {
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... | closed | false | null | [] | null | 2 | 2023-08-14T09:40:20 | 2023-11-20T16:05:02 | 2023-11-20T16:05:01 | NONE | null | ### Issue you'd like to raise.
I am just testing a very basic code as follows using LangChain
```
from langchain import HuggingFaceHub
from langchain import PromptTemplate, LLMChain
import asyncio
question = "Who won the FIFA World Cup in the year 1994? "
template = """Question: {question}
Answer: L... | {
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... | closed | false | null | [] | null | 1 | 2023-08-14T08:45:46 | 2023-08-14T15:21:10 | 2023-08-14T15:21:10 | CONTRIBUTOR | null | # What
- fix logging to logger
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- Description: fix logging to logger
- Issue: None
- Dependencies: None
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below),
- Twitter handle: @MLOpsj
Ple... | {
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"id": 56... | closed | false | null | [] | null | 5 | 2023-08-14T08:27:06 | 2023-08-25T09:34:10 | 2023-08-25T09:34:10 | CONTRIBUTOR | null | Description: Update Azure Cognitive Search SDK to version b8 (breaking change)
Customizable User Agent.
Implemented Similarity search with scores
@baskaryan
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old:
"metadata.file_path.keyword": "/some_file.pdf"
new:
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langchain==0.0.263
python 3.11.4
### Who can help?
@hwchase17
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parser... | {
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... | closed | false | null | [] | null | 1 | 2023-08-14T05:32:12 | 2023-08-14T18:10:53 | 2023-08-14T18:10:53 | CONTRIBUTOR | null | Added improvements in Nebula LLM to perform auto-retry, more generation parameters supported, and conversation is no longer required to be passed in the LLM object. Examples in docs are updated.
Twitter handle: @symbldotai | {
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... | open | false | null | [] | null | 3 | 2023-08-14T05:02:23 | 2023-10-13T06:59:21 | null | NONE | null | ### Issue you'd like to raise.
I am using pusher for streaming purpose.
I am getting error as "Response payload is not completed"
async def pusher__cal(new_payload, token):
# print(token)
session_id = new_payload["session_id"]
session_id_channel = f"{session_id}_channel"
user_id = new_payload["user_id"]
mess... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9186 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9186/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9186/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9186/events | https://github.com/langchain-ai/langchain/pull/9186 | 1,848,955,188 | PR_kwDOIPDwls5X1qkn | 9,186 | Bagatur/zep python 1.0 | {
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... | closed | false | null | [] | null | 1 | 2023-08-14T03:59:11 | 2023-08-14T05:01:21 | 2023-08-14T05:01:21 | NONE | null | ### Issue you'd like to raise.
This is the code I am using for custom callback
async def pusher__cal(new_payload, token):
print(token)
session_id = new_payload["session_id"]
session_id_channel = f"{session_id}_channel"
user_id = new_payload["user_id"]
message_id = new_payload["message_id"]
... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9184 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9184/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9184/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9184/events | https://github.com/langchain-ai/langchain/pull/9184 | 1,848,812,614 | PR_kwDOIPDwls5X1LhN | 9,184 | Adds DeepSparse as an LLM | {
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"url... | closed | false | null | [] | null | 2 | 2023-08-14T00:46:24 | 2023-08-14T05:35:59 | 2023-08-14T05:35:59 | CONTRIBUTOR | null | Adds [DeepSparse](https://github.com/neuralmagic/deepsparse) as an LLM backend. DeepSparse supports running various open-source sparsified models hosted on [SparseZoo](https://sparsezoo.neuralmagic.com/) for performance gains on CPUs.
Twitter handles: @mgoin_ @neuralmagic
Thanks for your work and let me know if t... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9183 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9183/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9183/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9183/events | https://github.com/langchain-ai/langchain/pull/9183 | 1,848,775,300 | PR_kwDOIPDwls5X1Duj | 9,183 | Fixes typing issues in BaseOpenAI | {
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... | closed | false | null | [] | null | 2 | 2023-08-13T23:02:29 | 2023-08-14T06:03:29 | 2023-08-14T06:03:28 | CONTRIBUTOR | null |
## Description:
Sets default values for `client` and `model` attributes in the BaseOpenAI class to fix Pylance Typing issue.
- Issue: #9182.
- Twitter handle: @evanmschultz
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... | closed | false | null | [] | null | 1 | 2023-08-13T22:15:59 | 2023-11-19T16:04:36 | 2023-11-19T16:04:36 | CONTRIBUTOR | null | ### System Info
### Pylance displays missing parameter errors for `client` and `model`
Neither `client` or `model` are required in the documenation.
## Suggested fix
Update attrib... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9181 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9181/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9181/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9181/events | https://github.com/langchain-ai/langchain/issues/9181 | 1,848,753,869 | I_kwDOIPDwls5uMb7N | 9,181 | Add support HuggingFace Inference Endpoint for embeddings | {
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"id":... | open | false | null | [] | null | 6 | 2023-08-13T21:56:46 | 2023-12-01T08:27:15 | null | NONE | null | ### Feature request
https://huggingface.co/inference-endpoints
### Motivation
We do not have support for HuggingFace Inference endpoints for tasks like embeddings and must be easy to implement inheriting the class from Embeddings base class
`InferenceEndpointHuggingFaceEmbeddings(Embeddings):` with only
`... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9179 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9179/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9179/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9179/events | https://github.com/langchain-ai/langchain/pull/9179 | 1,848,739,578 | PR_kwDOIPDwls5X08fp | 9,179 | feat(llms): support vLLM's OpenAI-compatible server | {
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I've also udpated the related notebook providing an example usage. At the moment, vLLM ... | {
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... | closed | false | null | [] | null | 1 | 2023-08-13T18:56:34 | 2023-11-19T16:04:41 | 2023-11-19T16:04:40 | NONE | null | ### Issue with current documentation:
While navigating the documentation, I came across an issue that I wanted to bring to your attention. It seems that `Python Guide` link on this page
[https://docs.langchain.com/docs/components/agents/agent](https://docs.langchain.com/docs/components/agents/agent)
is returnin... | {
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Langchain Version: 0.0.263 (latest at time of writing)
llama-cpp-python Version: 0.1.77 (latest at time of writing)
Python Version: 3.11.4
Platform: Apple M1 Macbook 16GB
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OS -MacOS
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@hwchase17 @ago
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Difficult to find information.
Information is incomplete in certain sections. ie. AgentExecutor.
### Idea or request for content:
_No response_ | {
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### Who can help?
_No response_
### Information
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- [X] My own modified scripts
### Related Components
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The SQL Database Agent utilizes the SQLDatabaseToolkit. This toolkit encompasses four distinct tools:
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3. QuerySQLCheckerTool
4. QuerySQLDataBaseTool
The QuerySQLCheckerTool is designed to identify and rectify errors within SQL code. It employs ... | {
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- add multi query test
- change run_manager optional for unnecessary args
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
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- Dependencies: None
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LangChain version used: 0.0.261 Python (this has been observed in older versions of LangChain too)
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Question: what are the legal services in Australia?
Response: "Some legal services in Australia ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9164 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9164/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9164/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9164/events | https://github.com/langchain-ai/langchain/pull/9164 | 1,848,330,576 | PR_kwDOIPDwls5XzovQ | 9,164 | add missing test for tools | {
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... | open | false | null | [] | null | 2 | 2023-08-13T01:01:44 | 2023-09-21T21:42:06 | null | CONTRIBUTOR | null | # What
- add missing test for tools
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- Description: add missing test for tools
- Issue: None
- Dependencies: None
- Tag maintainer: for a quicker response, tag the relevant maintainer (see below),
- Twitter handle: @MLo... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9163 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9163/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9163/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9163/events | https://github.com/langchain-ai/langchain/pull/9163 | 1,848,322,378 | PR_kwDOIPDwls5Xzm67 | 9,163 | Add dashvector vectorstore | {
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Add `Dashvector` vectorstore for langchain
- [dashvector quick start](https://help.aliyun.com/document_detail/2510223.html)
- [dashvector package description](https://pypi.org/project/dashvector/)
## How to use
```python
from langchain.vectorstores.dashvector import DashVector
dashvector = D... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9162 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9162/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9162/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9162/events | https://github.com/langchain-ai/langchain/pull/9162 | 1,848,316,533 | PR_kwDOIPDwls5XzlrY | 9,162 | add maximal_marginal_relevance_with_score | {
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- add maximal_marginal_relevance_with_score as utility
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- Description: add maximal_marginal_relevance_with_score as utility
- Issue: None
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https://api.github.com/repos/langchain-ai/langchain/issues/9161 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9161/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9161/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9161/events | https://github.com/langchain-ai/langchain/pull/9161 | 1,848,313,792 | PR_kwDOIPDwls5XzlFd | 9,161 | Add dashvector vectorstore | {
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Add `Dashvector` vectorstore for langchain
- [dashvector quick start](https://help.aliyun.com/document_detail/2510223.html)
- [dashvector package description](https://pypi.org/project/dashvector/)
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https://api.github.com/repos/langchain-ai/langchain/issues/9160 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9160/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9160/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9160/events | https://github.com/langchain-ai/langchain/pull/9160 | 1,848,306,484 | PR_kwDOIPDwls5XzjgC | 9,160 | add test for sklearn; add mmr with score for sklearn vector store | {
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- add test for sklearn
- add mmr with score for sklearn vector store
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- ZepVectorStore unit tests
- ZepVectorStore demo notebook
- update zep-python to ~1.0.2
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I know that Llamapi is in the experimental phase but can is there way to set the model configurations for the llms.
### Motivation
I have my own finetune llama that works the api, and would like to use it
### Your contribution
N/A | {
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Python 3.10
### Who can help?
@hw
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loaders
- [ ] V... | {
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"id": 56... | closed | false | null | [] | null | 3 | 2023-08-12T12:37:47 | 2023-08-15T23:20:03 | 2023-08-15T23:20:02 | CONTRIBUTOR | null | - Description: moving Vectara ingest to work with standard (vs core) indexing
- Issue: some example ipynb didn't work
- Tag maintainer: @rlancemartin
- Twitter handle: @ofermend
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