Commit Graph

754 Commits (3729bec1a2e1969d7d30e75b022ae847af95f9c8)

Author SHA1 Message Date
Guangdong Liu 3729bec1a2
community[patch]: standardize init args (#20210)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
5 months ago
sdan a7c5e41443
community[minor]: Added VLite as VectorStore (#20245)
Support [VLite](https://github.com/sdan/vlite) as a new VectorStore
type.

**Description**:
vlite is a simple and blazing fast vector database(vdb) made with numpy.
It abstracts a lot of the functionality around using a vdb in the
retrieval augmented generation(RAG) pipeline such as embeddings
generation, chunking, and file processing while still giving developers
the functionality to change how they're made/stored.

**Before submitting**:
Added tests
[here](c09c2ebd5c/libs/community/tests/integration_tests/vectorstores/test_vlite.py)
Added ipython notebook
[here](c09c2ebd5c/docs/docs/integrations/vectorstores/vlite.ipynb)
Added simple docs on how to use
[here](c09c2ebd5c/docs/docs/integrations/providers/vlite.mdx)

**Profiles**

Maintainers: @sdan
Twitter handles: [@sdand](https://x.com/sdand)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Hyeongchan Kim 7824291252
community[patch]: Fix not to cast to str type when `file_path` is None (#20057)
From `langchain_community 0.0.30`, there's a bug that cannot send a
file-like object via `file` parameter instead of `file path` due to
casting the `file_path` to str type even if `file_path` is None.

which means that when I call the `partition_via_api()`, exactly one of
`filename` and `file` must be specified by the following error message.

however, from `langchain_community 0.0.30`, `file_path` is casted into
`str` type even `file_path` is None in `get_elements_from_api()` and got
an error at `exactly_one(filename=filename, file=file)`.

here's an error message
```
---> 51     exactly_one(filename=filename, file=file)
     53     if metadata_filename and file_filename:
     54         raise ValueError(
     55             "Only one of metadata_filename and file_filename is specified. "
     56             "metadata_filename is preferred. file_filename is marked for deprecation.",
     57         )

File /opt/homebrew/lib/python3.11/site-packages/unstructured/partition/common.py:441, in exactly_one(**kwargs)
    439 else:
    440     message = f"{names[0]} must be specified."
--> 441 raise ValueError(message)

ValueError: Exactly one of filename and file must be specified.
```

So, I simply made a change that casting to str type when `file_path` is
not None.

I use `UnstructuredAPIFileLoader` like below.

```
from langchain_community.document_loaders.unstructured import UnstructuredAPIFileLoader

documents: list = UnstructuredAPIFileLoader(
    file_path=None,
    file=file,  # file-like object, io.BytesIO type
    mode='elements',
    url='http://127.0.0.1:8000/general/v0/general',
    content_type='application/pdf',
    metadata_filename='asdf.pdf',
).load_and_split()
```
5 months ago
MacanPN bce69ae43d
community[patch]: Changes to base_o365 and sharepoint document loaders (#20373)
## Description:
The PR introduces 3 changes:
1. added `recursive` property to `O365BaseLoader`. (To keep the behavior
unchanged, by default is set to `False`). When `recursive=True`,
`_load_from_folder()` also recursively loads all nested folders.
2. added `folder_id` to SharePointLoader.(similar to (this
PR)[https://github.com/langchain-ai/langchain/pull/10780] ) This
provides an alternative to `folder_path` that doesn't seem to reliably
work.
3. when none of `document_ids`, `folder_id`, `folder_path` is provided,
the loader fetches documets from root folder. Combined with
`recursive=True` this provides an easy way of loading all compatible
documents from SharePoint.

The PR contains the same logic as [this stale
PR](https://github.com/langchain-ai/langchain/pull/10780) by
@WaleedAlfaris. I'd like to ask his blessing for moving forward with
this one.

## Issue:
- As described in https://github.com/langchain-ai/langchain/issues/19938
and https://github.com/langchain-ai/langchain/pull/10780 the sharepoint
loader often does not seem to work with folder_path.
- Recursive loading of subfolders is a missing functionality

## Dependecies: None

Twitter handle:
@martintriska1 @WRhetoric

This is my first PR here, please be gentle :-)
Please review @baskaryan

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
5 months ago
Sevin F. Varoglu 54d388d898
community[patch]: update OctoAI endpoint to subclass BaseOpenAI (#19757)
This PR updates OctoAIEndpoint LLM to subclass BaseOpenAI as OctoAI is
an OpenAI-compatible service. The documentation and tests have also been
updated.
5 months ago
Benito Geordie 57b226532d
community[minor]: Added integrations for ThirdAI's NeuralDB as a Retriever (#17334)
**Description:** Adds ThirdAI NeuralDB retriever integration. NeuralDB
is a CPU-friendly and fine-tunable text retrieval engine. We previously
added a vector store integration but we think that it will be easier for
our customers if they can also find us under under
langchain-community/retrievers.

---------

Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com>
Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>
5 months ago
WeichenXu e9fc87aab1
community[patch]: Make ChatDatabricks model supports streaming response (#19912)
**Description:** Make ChatDatabricks model supports stream
**Issue:** N/A
**Dependencies:** MLflow nightly build version (we will release next
MLflow version soon)
**Twitter handle:** N/A

Manually test:

(Before testing, please install `pip install
git+https://github.com/mlflow/mlflow.git`)

```python
# Test Databricks Foundation LLM model
from langchain.chat_models import ChatDatabricks

chat_model = ChatDatabricks(
    endpoint="databricks-llama-2-70b-chat",
    max_tokens=500
)
from langchain_core.messages import AIMessageChunk

for chunk in chat_model.stream("What is mlflow?"):
  print(chunk.content, end="|")
```

- [x] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.


- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Dhruv Chawla d6d559d50d
community[minor]: add UpTrainCallbackHandler (#19956)
- **Description:** 
This PR adds a callback handler for UpTrain. It performs evaluations in
the RAG pipeline to check the quality of retrieved documents, generated
queries and responses.

- **Dependencies:** 
    - The UpTrainCallbackHandler requires the uptrain package

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
5 months ago
Ravindu Somawansa 5acc7ba622
community[minor]: Add glue catalog loader (#20220)
Add Glue Catalog loader
5 months ago
Martín Gotelli Ferenaz b48add4353
community[patch]: Fix pgvector deprecated filter clause usage with OR and AND conditions (#20446)
**Description**: Support filter by OR and AND for deprecated PGVector
version
**Issue**: #20445 
**Dependencies**: N/A
**Twitter** handle: @martinferenaz
5 months ago
Eugene Yurtsev c50099161b
community[patch]: Use uuid4 not uuid1 (#20487)
Using UUID1 is incorrect since it's time dependent, which makes it easy
to generate the exact same uuid
5 months ago
Leonid Kuligin 676c68d318
community[patch]: deprecating remaining google_community integrations (#20471)
Deprecating remaining google community integrations
5 months ago
balloonio b66a4f48fa
community[patch]: Invoke callback prior to yielding token fix [DeepInfra] (#20427)
- [x] **PR title**: community[patch]: Invoke callback prior to yielding
token fix for [DeepInfra]


- [x] **PR message**: 
- **Description:** Invoke callback prior to yielding token in stream
method in [DeepInfra]
    - **Issue:** https://github.com/langchain-ai/langchain/issues/16913
    - **Dependencies:** None
    - **Twitter handle:** @bolun_zhang

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
5 months ago
Juan Carlos José Camacho 450c458f8f
community[minor]: Add Datahareld tool (#19680)
**Description:** Integrate [dataherald](https://www.dataherald.com)
tool, It is a natural language-to-SQL tool.
**Dependencies:** Install dataherald sdk to use it,
```
pip install dataherald
```

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
5 months ago
Egor Krasheninnikov c8391d4ff1
community[patch]: Fix YandexGPT embeddings (#19720)
Fix of YandexGPT embeddings. 

The current version uses a single `model_name` for queries and
documents, essentially making the `embed_documents` and `embed_query`
methods the same. Yandex has a different endpoint (`model_uri`) for
encoding documents, see
[this](https://yandex.cloud/en/docs/yandexgpt/concepts/embeddings). The
bug may impact retrievers built with `YandexGPTEmbeddings` (for instance
FAISS database as retriever) since they use both `embed_documents` and
`embed_query`.

A simple snippet to test the behaviour:
```python
from langchain_community.embeddings.yandex import YandexGPTEmbeddings
embeddings = YandexGPTEmbeddings()
q_emb = embeddings.embed_query('hello world')
doc_emb = embeddings.embed_documents(['hello world', 'hello world'])
q_emb == doc_emb[0]
```
The response is `True` with the current version and `False` with the
changes I made.


Twitter: @egor_krash

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Guangdong Liu 4be7ca7b4c
community[patch]:sparkllm standardize init args (#20194)
Related to https://github.com/langchain-ai/langchain/issues/20085
@baskaryan
5 months ago
Yuki Oshima 0758da8940
community[patch]: Set default value for _ListSQLDatabaseToolInput tool_input (#20409)
**Description:**

`_ListSQLDatabaseToolInput` raise error if model returns `{}`.
For example, gpt-4-turbo returns `{}` with SQL Agent initialized by
`create_sql_agent`.

So, I set default value `""` for `_ListSQLDatabaseToolInput` tool_input.

This is actually a gpt-4-turbo issue, not a LangChain issue, but I
thought it would be helpful to set a default value `""`.

This problem is discussed in detail in the following Issue.

**Issue:** https://github.com/langchain-ai/langchain/issues/20405

**Dependencies:** none

Sorry, I did not add or change the test code, as tests for this
components was not exist .

However, I have tested the following code based on the [SQL Agent
Document](https://python.langchain.com/docs/use_cases/sql/agents/), to
make sure it works.

```
from langchain_community.agent_toolkits.sql.base import create_sql_agent
from langchain_community.utilities.sql_database import SQLDatabase
from langchain_openai import ChatOpenAI

db = SQLDatabase.from_uri("sqlite:///Chinook.db")
llm = ChatOpenAI(model="gpt-4-turbo", temperature=0)
agent_executor = create_sql_agent(llm, db=db, agent_type="openai-tools", verbose=True)
result = agent_executor.invoke("List the total sales per country. Which country's customers spent the most?")
print(result["output"])
```
5 months ago
ccurme 38faa74c23
community[patch]: update use of deprecated llm methods (#20393)
.predict and .predict_messages for BaseLanguageModel and BaseChatModel
5 months ago
Corey Zumar 3a068b26f3
community[patch]: Databricks - fix scope of dangerous deserialization error in Databricks LLM connector (#20368)
fix scope of dangerous deserialization error in Databricks LLM connector

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
5 months ago
balloonio e7b1a44c5b
community[patch]: Invoke callback prior to yielding token fix for Llamafile (#20365)
- [x] **PR title**: community[patch]: Invoke callback prior to yielding
token fix for Llamafile


- [x] **PR message**: 
- **Description:** Invoke callback prior to yielding token in stream
method in community llamafile.py
    - **Issue:** https://github.com/langchain-ai/langchain/issues/16913
    - **Dependencies:** None
    - **Twitter handle:** @bolun_zhang

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
5 months ago
balloonio 93caa568f9
community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint (#20366)
- [x] **PR title**: community[patch]: Invoke callback prior to yielding
token fix for HuggingFaceEndpoint


- [x] **PR message**: 
- **Description:** Invoke callback prior to yielding token in stream
method in community HuggingFaceEndpoint
    - **Issue:** https://github.com/langchain-ai/langchain/issues/16913
    - **Dependencies:** None
    - **Twitter handle:** @bolun_zhang

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
5 months ago
Nicolas ad04585e30
community[minor]: Firecrawl.dev integration (#20364)
Added the [FireCrawl](https://firecrawl.dev) document loader. Firecrawl
crawls and convert any website into LLM-ready data. It crawls all
accessible subpages and give you clean markdown for each.

    - **Description:** Adds FireCrawl data loader
    - **Dependencies:** firecrawl-py
    - **Twitter handle:** @mendableai 

ccing contributors: (@ericciarla @nickscamara)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
5 months ago
P. Taylor Goetz 9317df7f16
community[patch]: Add "model" attribute to the payload sent to Ollama in `ChatOllama` (#20354)
Example Ollama API calls:

Request without "model":
```
curl --location 'http://localhost:11434/api/chat' \
--header 'Content-Type: application/json' \
--data '{
  "messages": [
    {
      "role": "user",
      "content": "What is the capitol of PA?"
    }
  ],
  "stream": false
}'
```
Response:
```
{"error":"model is required"}
```

Request with "model":
```
curl --location 'http://localhost:11434/api/chat' \
--header 'Content-Type: application/json' \
--data '{
  "model": "openchat",
  "messages": [
    {
      "role": "user",
      "content": "What is the capitol of PA?"
    }
  ],
  "stream": false
}'
```

Response:
```
{
  "eval_duration" : 733248000,
  "created_at" : "2024-04-11T23:04:08.735766843Z",
  "model" : "openchat",
  "message" : {
    "content" : " The capital city of Pennsylvania is Harrisburg.",
    "role" : "assistant"
  },
  "total_duration" : 3138731168,
  "prompt_eval_count" : 25,
  "load_duration" : 466562959,
  "done" : true,
  "prompt_eval_duration" : 1938495000,
  "eval_count" : 10
}
```
5 months ago
Alex Sherstinsky fad0962643
community: for Predibase -- enable both Predibase-hosted and HuggingFace-hosted fine-tuned adapter repositories (#20370) 5 months ago
Isak Nyberg bac9fb9a7c
community: add gpt-4 pricing in callback (#20292)
Added the pricing for `gpt-4-turbo` and `gpt-4-turbo-2024-04-09` in the
callback method.
related to issue #17173 

https://openai.com/pricing#language-models
5 months ago
Leonid Ganeline 7cf2d2759d
community[patch]: docstrings update (#20301)
Added missed docstrings. Format docstings to the consistent form.
5 months ago
Eugene Yurtsev 22fd844e8a
community[patch]: Add deprecation warnings to postgres implementation (#20222)
Add deprecation warnings to postgres implementation that are in langchain-postgres.
5 months ago
Leonid Ganeline 4cb5f4c353
community[patch]: import flattening fix (#20110)
This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code.

See #20050 as a template for this PR.
- As a byproduct: Added 3 missed `test_imports`.
- Added missed `SolarChat` in to __init___.py Added it into test_import
ut.
- Added `# type: ignore` to fix linting. It is not clear, why linting
errors appear after ^ changes.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
5 months ago
Chip Davis 806d4ae48f
community[patch]: fixed multithreading returning List[List[Documents]] instead of List[Documents] (#20230)
Description: When multithreading is set to True and using the
DirectoryLoader, there was a bug that caused the return type to be a
double nested list. This resulted in other places upstream not being
able to utilize the from_documents method as it was no longer a
`List[Documents]` it was a `List[List[Documents]]`. The change made was
to just loop through the `future.result()` and yield every item.
Issue: #20093
Dependencies: N/A
Twitter handle: N/A
5 months ago
seray add31f46d0
community[patch]: OpenLLM Async Client Fixes and Timeout Parameter (#20007)
Same changes as this merged
[PR](https://github.com/langchain-ai/langchain/pull/17478)
(https://github.com/langchain-ai/langchain/pull/17478), but for the
async client, as the same issues persist.

- Replaced 'responses' attribute of OpenLLM's GenerationOutput schema to
'outputs'.
reference:
66de54eae7/openllm-core/src/openllm_core/_schemas.py (L135)

- Added timeout parameter for the async client.

---------

Co-authored-by: Seray Arslan <seray.arslan@knime.com>
5 months ago
Erick Friis 37a9e23c05
community: switch to falkordb python client (#20229) 5 months ago
David Lee 0394c6e126
community[minor]: add allow_dangerous_requests for OpenAPI toolkits (#19493)
**OpenAPI allow_dangerous_requests**: community: add
allow_dangerous_requests for OpenAPI toolkits

**Description:** a description of the change

Due to BaseRequestsTool changes, we need to pass
allow_dangerous_requests manually.


b617085af0/libs/community/langchain_community/tools/requests/tool.py (L26-L46)

While OpenAPI toolkits didn't pass it in the arguments.


b617085af0/libs/community/langchain_community/agent_toolkits/openapi/planner.py (L262-L269)


**Issue:** the issue # it fixes, if applicable

https://github.com/langchain-ai/langchain/issues/19440

If not passing allow_dangerous_requests, it won't be able to do
requests.

**Dependencies:** any dependencies required for this change

Not much

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
5 months ago
Timothy 0c848a25ad
community[patch]: GCSDirectoryLoader bugfix (#20005)
- **Description:** Bug fix. Removed extra line in `GCSDirectoryLoader`
to allow catching Exceptions. Now also logs the file path if Exception
is raised for easier debugging.
- **Issue:** #20198 Bug since langchain-community==0.0.31
- **Dependencies:** No change
- **Twitter handle:** timothywong731

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
jeff kit ac42e96e4c
community[patch], langchain[minor]: Enhance Tencent Cloud VectorDB, langchain: make Tencent Cloud VectorDB self query retrieve compatible (#19651)
- make Tencent Cloud VectorDB support metadata filtering.
- implement delete function for Tencent Cloud VectorDB.
- support both Langchain Embedding model and Tencent Cloud VDB embedding
model.
- Tencent Cloud VectorDB support filter search keyword, compatible with
langchain filtering syntax.
- add Tencent Cloud VectorDB TranslationVisitor, now work with self
query retriever.
- more documentations.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
5 months ago
Bagatur 1a34c65e01
community[patch]: pass through sql agent kwargs (#19962)
Fix #19961
5 months ago
Guangdong Liu 97d91ec17c
community[patch]: standardize baichuan init args (#20209)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
5 months ago
Piyush Jain cd7abc495a
community[minor]: add neptune analytics graph (#20047)
Replacement for PR
[#19772](https://github.com/langchain-ai/langchain/pull/19772).

---------

Co-authored-by: Dave Bechberger <dbechbe@amazon.com>
Co-authored-by: bechbd <bechbd@users.noreply.github.com>
5 months ago
Shuqian ad9750403b
community[minor]: add bedrock anthropic callback for token usage counting (#19864)
**Description:** add bedrock anthropic callback for token usage
counting, consulted openai callback.

---------

Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>
5 months ago
Prince Canuma 1f9f4d8742
community[minor]: Add support for MLX models (chat & llm) (#18152)
**Description:** This PR adds support for MLX models both chat (i.e.,
instruct) and llm (i.e., pretrained) types/
**Dependencies:** mlx, mlx_lm, transformers
**Twitter handle:** @Prince_Canuma

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
5 months ago
Leonid Ganeline 2f8dd1a161
community[patch]: `cross_encoders` flatten namespaces (#20183)
Issue `langchain_community.cross_encoders` didn't have flattening
namespace code in the __init__.py file.
Changes:
- added code to flattening namespaces (used #20050 as a template)
- added ut for a change
- added missed `test_imports` for `chat_loaders` and
`chat_message_histories` modules
5 months ago
Alex Sherstinsky 5f563e040a
community: extend Predibase integration to support fine-tuned LLM adapters (#19979)
- [x] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core,
experimental, etc. is being modified. Use "docs: ..." for purely docs
changes, "templates: ..." for template changes, "infra: ..." for CI
changes.
  - Example: "community: add foobar LLM"


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Langchain-Predibase integration was failing, because
it was not current with the Predibase SDK; in addition, Predibase
integration tests were instantiating the Langchain Community `Predibase`
class with one required argument (`model`) missing. This change updates
the Predibase SDK usage and fixes the integration tests.
    - **Twitter handle:** `@alexsherstinsky`


- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
5 months ago
Bagatur 5ae0e687b3
docs: use standard openai params (#20160)
Part of #20085
5 months ago
david02871 e1a24d09c5
community: Add PHP language parser to document_loaders (#19850)
**Description:**
Added a PHP language parser to document_loaders
**Issue:** N/A
**Dependencies:** N/A
**Twitter handle:** N/A

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
5 months ago
Marlene 2f03bc397e
Community: Updating Azure Retriever and Docs to be Azure AI Search instead of Azure Cognitive Search (#19925)
Last year Microsoft [changed the
name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search)
of Azure Cognitive Search to Azure AI Search. This PR updates the
Langchain Azure Retriever API and it's associated docs to reflect this
change. It may be confusing for users to see the name Cognitive here and
AI in the Microsoft documentation which is why this is needed. I've also
added a more detailed example to the Azure retriever doc page.

There are more places that need a similar update but I'm breaking it up
so the PRs are not too big 😄 Fixing my errors from the previous PR.

Twitter: @marlene_zw

Two new tests added to test backward compatibility in
`libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py`

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
5 months ago
Rahul Triptahi 820b713086
community[minor]: Add support for Pebblo cloud_api_key in PebbloSafeLoader (#19855)
**Description**:
_PebbloSafeLoader_: Add support for pebblo's cloud api-key in
PebbloSafeLoader

- This Pull request enables PebbloSafeLoader to accept pebblo's cloud
api-key and send the semantic classification data to pebblo cloud.

**Documentation**: Updated 
**Unit test**: Added
**Issue**: NA
**Dependencies**: - None
**Twitter handle**: @rahul_tripathi2

Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
5 months ago
Eugene Yurtsev 520ff50adc
community[patch]: Improve import callbacks to make it IDE friendly (#20050)
* declares __all__ as a list of strings (instead of dynamically
computing it)
* import type definitions when TYPE_CHECKING is true
5 months ago
Leonid Ganeline 3aacd11846
community[minor]: added missed class to __all__ (#19888)
Added missed `UnstructuredCHMLoader` class to the
document_loader.\_\_init\_\_.py \_\_all\_\_
5 months ago
Tomaz Bratanic df25829f33
community[minor]: Add metadata filtering support for neo4j vector (#20001) 5 months ago
Ben Mitchell b52b78478f
community[minor]: Implement Async OpenSearch `afrom_texts` & `afrom_embeddings` (#20009)
- **Description:** Adds async variants of afrom_texts and
afrom_embeddings into `OpenSearchVectorSearch`, which allows for
`afrom_documents` to be called.
- **Issue:** I implemented this because my use case involves an async
scraper generating documents as and when they're ready to be ingested by
Embedding/OpenSearch
- **Dependencies:** None that I'm aware

Co-authored-by: Ben Mitchell <b.mitchell@reply.com>
5 months ago
happy-go-lucky c6432abdbe
community[patch]: Implement delete method and all async methods in opensearch_vector_search (#17321)
- **Description:** In order to use index and aindex in
libs/langchain/langchain/indexes/_api.py, I implemented delete method
and all async methods in opensearch_vector_search
- **Dependencies:** No changes
5 months ago