Commit Graph

1187 Commits (9b3a025f9c806a6f8a00030c7058c689536ae5a0)

Author SHA1 Message Date
mrhbj 9212c9fcb8
community[patch]: fix hunyuan client json analysis (#22452) (#22767)
Thank you for contributing to LangChain!

- [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:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [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, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
3 months ago
Rohan Aggarwal 86e8224cf1
community[patch]: Support for old clients (Thin and Thick) Oracle Vector Store (#22766)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
Support for old clients (Thin and Thick) Oracle Vector Store


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
Support for old clients (Thin and Thick) Oracle Vector Store

- [ ] **Add tests and docs**: If you're adding a new integration, please
include
Have our own local tests

---------

Co-authored-by: rohan.aggarwal@oracle.com <rohaagga@phoenix95642.dev3sub2phx.databasede3phx.oraclevcn.com>
3 months ago
Mr. Lance E Sloan «UMich» 84dc2dd059
community[patch]: Load YouTube transcripts (captions) as fixed-duration chunks with start times (#21710)
- **Description:** Add a new format, `CHUNKS`, to
`langchain_community.document_loaders.youtube.YoutubeLoader` which
creates multiple `Document` objects from YouTube video transcripts
(captions), each of a fixed duration. The metadata of each chunk
`Document` includes the start time of each one and a URL to that time in
the video on the YouTube website.
  
I had implemented this for UMich (@umich-its-ai) in a local module, but
it makes sense to contribute this to LangChain community for all to
benefit and to simplify maintenance.

- **Issue:** N/A
- **Dependencies:** N/A
- **Twitter:** lsloan_umich
- **Mastodon:**
[lsloan@mastodon.social](https://mastodon.social/@lsloan)

With regards to **tests and documentation**, most existing features of
the `YoutubeLoader` class are not tested. Only the
`YoutubeLoader.extract_video_id()` static method had a test. However,
while I was waiting for this PR to be reviewed and merged, I had time to
add a test for the chunking feature I've proposed in this PR.

I have added an example of using chunking to the
`docs/docs/integrations/document_loaders/youtube_transcript.ipynb`
notebook.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
3 months ago
Aayush Kataria 71811e0547
community[minor]: Adds a vector store for Azure Cosmos DB for NoSQL (#21676)
This PR add supports for Azure Cosmos DB for NoSQL vector store.

Summary:

Description: added vector store integration for Azure Cosmos DB for
NoSQL Vector Store,
Dependencies: azure-cosmos dependency,
Tag maintainer: @hwchase17, @baskaryan @efriis @eyurtsev

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
3 months ago
Mohammad Mohtashim 36cad5d25c
[Community]: Added Metadata filter support for DocumentDB Vector Store (#22777)
- **Description:** As pointed out in this issue #22770, DocumentDB
`similarity_search` does not support filtering through metadata which
this PR adds by passing in the parameter `filter`. Also this PR fixes a
minor Documentation error.
- **Issue:** #22770

---------

Co-authored-by: Erick Friis <erickfriis@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
3 months ago
Dmitry Stepanov 912751e268
Ollama vision support (#22734)
**Description:** Ollama vision with messages in OpenAI-style support `{
"image_url": { "url": ... } }`
**Issue:** #22460 

Added flexible solution for ChatOllama to support chat messages with
images. Works when you provide either `image_url` as a string or as a
dict with "url" inside (like OpenAI does). So it makes available to use
tuples with `ChatPromptTemplate.from_messages()`

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
3 months ago
Jaeyeon Kim(김재연) ce4e29ae42
community[minor]: fix redis store docstring and streamline initialization code (#22730)
Thank you for contributing to LangChain!

### Description

Fix the example in the docstring of redis store.
Change the initilization logic and remove redundant check, enhance error
message.

### Issue

The example in docstring of how to use redis store was wrong.

![image](https://github.com/langchain-ai/langchain/assets/37469330/78c5d9ce-ee66-45b3-8dfe-ea29f125e6e9)

### Dependencies
Nothing



- [ ] **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/

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

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
3 months ago
am-kinetica ad101adec8
community[patch]: Kinetica Integrations handled error in querying; quotes in table names; updated gpudb API (#22724)
- [ ] **Miscellaneous updates and fixes**: 
- **Description:** Handled error in querying; quotes in table names;
updated gpudb API
- **Issue:** Threw an error with an error message difficult to
understand if a query failed or returned no records
    - **Dependencies:** Updated GPUDB API version to `7.2.0.9`


@baskaryan @hwchase17
3 months ago
Mathis Joffre ea43f40daf
community[minor]: Add support for OVHcloud AI Endpoints Embedding (#22667)
**Description:** Add support for [OVHcloud AI
Endpoints](https://endpoints.ai.cloud.ovh.net/) Embedding models.

Inspired by:
https://gist.github.com/gmasse/e1f99339e161f4830df6be5d0095349a

Signed-off-by: Joffref <mariusjoffre@gmail.com>
3 months ago
Eugene Yurtsev 05d31a2f00
community[patch]: Add missing type annotations (#22758)
Add missing type annotations to objects in community.
These missing type annotations will raise type errors in pydantic 2.
3 months ago
Bharat Ramanathan 2b5631a6be
community[patch]: fix `WandbTracer` to work with new "RunV2" API (#22673)
- **Description:** This PR updates the `WandbTracer` to work with the
new RunV2 API so that wandb Traces logging works correctly for new
LangChain versions. Here's an example
[run](https://wandb.ai/parambharat/langchain-tracing/runs/wpm99ftq) from
the existing tests
- **Issue:** https://github.com/wandb/wandb/issues/7762
- **Twitter handle:** @ParamBharat

_If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17._
3 months ago
Oguz Vuruskaner f0f4532579
community[patch]: fix deepinfra inference (#22680)
This PR includes:

1. Update of default model to LLama3.
2. Handle some 400x errors with more user friendly error messages.
3. Handle user errors.
3 months ago
Tomaz Bratanic 76a193decc
community[patch]: Add function response to graph cypher qa chain (#22690)
LLMs struggle with Graph RAG, because it's different from vector RAG in
a way that you don't provide the whole context, only the answer and the
LLM has to believe. However, that doesn't really work a lot of the time.
However, if you wrap the context as function response the accuracy is
much better.

btw... `union[LLMChain, Runnable]` is linting fun, that's why so many
ignores
3 months ago
X-HAN 34edfe4a16
community[minor]: add Volcengine Rerank (#22700)
**Description:** this PR adds Volcengine Rerank capability to Langchain,
you can find Volcengine Rerank API from
[here](https://www.volcengine.com/docs/84313/1254474) &
[here](https://www.volcengine.com/docs/84313/1254605).
[Volcengine](https://www.volcengine.com/) is a cloud service platform
developed by ByteDance, the parent company of TikTok. You can obtain
Volcengine API AK/SK from
[here](https://www.volcengine.com/docs/84313/1254553).

**Dependencies:** VolcengineRerank depends on `volcengine` python
package.

**Twitter handle:** my twitter/x account is https://x.com/LastMonopoly
and I'd like a mention, thank you!


**Tests and docs**
  1. integration test: `test_volcengine_rerank.py`
  2. example notebook: `volcengine_rerank.ipynb`

**Lint and test**: I have run `make format`, `make lint` and `make test`
from the root of the package I've modified.
3 months ago
Mohammad Mohtashim c3cce98d86
community[patch]: Small Fix in OutlookMessageLoader (Close the Message once Open) (#22744)
- **Description:** A very small fix where we close the message when it
opened
- **Issue:** #22729
3 months ago
Max Mulatz 058a64c563
Community[minor]: Add language parser for Elixir (#22742)
Hi 👋 

First off, thanks a ton for your work on this 💚 Really appreciate what
you're providing here for the community.

## Description

This PR adds a basic language parser for the
[Elixir](https://elixir-lang.org/) programming language. The parser code
is based upon the approach outlined in
https://github.com/langchain-ai/langchain/pull/13318: it's using
`tree-sitter` under the hood and aligns with all the other `tree-sitter`
based parses added that PR.

The `CHUNK_QUERY` I'm using here is probably not the most sophisticated
one, but it worked for my application. It's a starting point to provide
"core" parsing support for Elixir in LangChain. It enables people to use
the language parser out in real world applications which may then lead
to further tweaking of the queries. I consider this PR just the ground
work.

- **Dependencies:** requires `tree-sitter` and `tree-sitter-languages`
from the extended dependencies
- **Twitter handle:**`@bitcrowd`

## Checklist

- [x] **PR title**: "package: description"
- [x] **Add tests and docs**
- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified.

<!-- If no one reviews your PR within a few days, please @-mention one
of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. -->
3 months ago
Enzo Poggio 8f019e91d7
community[patch]: Use Custom Logger Instead of Root Logger in get_user_agent Function (#22691)
## Description
This PR addresses a logging inconsistency in the `get_user_agent`
function. Previously, the function was using the root logger to log a
warning message when the "USER_AGENT" environment variable was not set.
This bypassed the custom logger `log` that was created at the start of
the module, leading to potential inconsistencies in logging behavior.

Changes:
- Replaced `logging.warning` with `log.warning` in the `get_user_agent`
function to ensure that the custom logger is used.

This change ensures that all logging in the `get_user_agent` function
respects the configurations of the custom logger, leading to more
consistent and predictable logging behavior.

## Dependencies

None

## Issue 

None

## Tests and docs

☝🏻 see description


## `make format`, `make lint` & `cd libs/community; make test`

```shell
> make format 
poetry run ruff format docs templates cookbook
1417 files left unchanged
poetry run ruff check --select I --fix docs templates cookbook
All checks passed!
```

```shell
> make lint
poetry run ruff check docs templates cookbook
All checks passed!
poetry run ruff format docs templates cookbook --diff
1417 files already formatted
poetry run ruff check --select I docs templates cookbook
All checks passed!
git grep 'from langchain import' docs/docs templates cookbook | grep -vE 'from langchain import (hub)' && exit 1 || exit 0
```

~cd libs/community; make test~ too much dependencies for integration ...

```shell
>  poetry run pytest tests/unit_tests   
....
==== 884 passed, 466 skipped, 4447 warnings in 15.93s ====
```

I choose you randomly : @ccurme
4 months ago
Philippe PRADOS 9aabb446c5
community[minor]: Add SQL storage implementation (#22207)
Hello @eyurtsev

- package: langchain-comminity
- **Description**: Add SQL implementation for docstore. A new
implementation, in line with my other PR ([async
PGVector](https://github.com/langchain-ai/langchain-postgres/pull/32),
[SQLChatMessageMemory](https://github.com/langchain-ai/langchain/pull/22065))
- Twitter handler: pprados

---------

Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Piotr Mardziel <piotrm@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
4 months ago
Nithish Raghunandanan f2f0e0e13d
couchbase: Add the initial version of Couchbase partner package (#22087)
Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
4 months ago
Cahid Arda Öz 6c07eb0c12
community[minor]: Add UpstashRatelimitHandler (#21885)
Adding `UpstashRatelimitHandler` callback for rate limiting based on
number of chain invocations or LLM token usage.

For more details, see [upstash/ratelimit-py
repository](https://github.com/upstash/ratelimit-py) or the notebook
guide included in this PR.

Twitter handle: @cahidarda

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
4 months ago
Bagatur 235d91940d
community[patch]: Release 0.2.4 (#22643) 4 months ago
Erick Friis a24a9c6427
multiple: get rid of pyproject extras (#22581)
They cause `poetry lock` to take a ton of time, and `uv pip install` can
resolve the constraints from these toml files in trivial time
(addressing problem with #19153)

This allows us to properly upgrade lockfile dependencies moving forward,
which revealed some issues that were either fixed or type-ignored (see
file comments)
4 months ago
Xiangrui Meng f26ab93df8
community: support Databricks Unity Catalog functions as LangChain tools (#22555)
This PR adds support for using Databricks Unity Catalog functions as
LangChain tools, which runs inside a Databricks SQL warehouse.

* An example notebook is provided.
4 months ago
lucasiscovici 05bf98b2f9
community[patch]: pgvector replace nin_ by not_in (#22619)
- [ ] **community**: "pgvector: replace nin_ by not_in"

- [ ] **PR message**: nin_ do not exist in sqlalchemy orm, it's not_in
4 months ago
Isaac Francisco ba3e219d83
community[patch]: recursive url loader fix and unit tests (#22521)
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Jeffrey Mak 5fc5ed463c
community[patch]:Support filter for AzureAISearchRetriever (#22303)
**Description**: 
The AzureAISearchRetriever does not support the "$filter" argument
offered in the AISearch API:
https://learn.microsoft.com/en-us/rest/api/searchservice/documents/search-get?view=rest-searchservice-2023-11-01&tabs=HTTP
The $filter allows filtering of indexes based on values in metadata.

**Issue**: 
https://github.com/langchain-ai/langchain/issues/19885

**Dependencies**: 
No

**Twitter handle**: 
@Jeffreym9M
 

- [ ] **Add tests and docs**: Not relevant


- [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/
4 months ago
Isaac Francisco 148088a588
docs: duckduckgosearch options listed (#22568)
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
X-HAN 62f13f95e4
community[minor]: add DashScope Rerank (#22403)
**Description:** this PR adds DashScope Rerank capability to Langchain,
you can find DashScope Rerank API from
[here](https://help.aliyun.com/document_detail/2780058.html?spm=a2c4g.2780059.0.0.6d995024FlrJ12)
&
[here](https://help.aliyun.com/document_detail/2780059.html?spm=a2c4g.2780058.0.0.63f75024cr11N9).
[DashScope](https://dashscope.aliyun.com/) is the generative AI service
from Alibaba Cloud (Aliyun). You can create DashScope API key from
[here](https://bailian.console.aliyun.com/?apiKey=1#/api-key).

**Dependencies:** DashScopeRerank depends on `dashscope` python package.

**Twitter handle:** my twitter/x account is https://x.com/LastMonopoly
and I'd like a mention, thanks you!


**Tests and docs**
  1. integration test: `test_dashscope_rerank.py`
  2. example notebook: `dashscope_rerank.ipynb`

**Lint and test**: I have run `make format`, `make lint` and `make test`
from the root of the package I've modified.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Ethan Yang 29064848f9
[Community]add option to delete the prompt from HF output (#22225)
This will help to solve pattern mismatching issue when parsing the
output in Agent.

https://github.com/langchain-ai/langchain/issues/21912
4 months ago
Bagatur 584a1e30ac
community[patch]: AzureSearch async functions (#22075) 4 months ago
ccurme af129974a3
community: update how OpenAIAssistantV2Runnable creates threads with tool_resources (#22549)
https://github.com/langchain-ai/langchain/issues/22503
4 months ago
Bagatur 51a0d4574e
community[patch]: Release 0.2.3 (#22562) 4 months ago
leila-messallem 3280a5b49b
community[patch]: improve test setup to accurately test filtering of labels in neo4j (#22531)
**Description:** This PR addresses an issue with an existing test that
was not effectively testing the intended functionality. The previous
test setup did not adequately validate the filtering of the labels in
neo4j, because the nodes and relationship in the test data did not have
any properties set. Without properties these labels would not have been
returned, regardless of the filtering.

---------

Co-authored-by: Oskar Hane <oh@oskarhane.com>
4 months ago
Stefano Lottini 328d0c99f2
community[minor]: Add support for metadata indexing policy in Cassandra vector store (#22548)
This PR adds a constructor `metadata_indexing` parameter to the
Cassandra vector store to allow optional fine-tuning of which fields of
the metadata are to be indexed.

This is a feature supported by the underlying CassIO library. Indexing
mode of "all", "none" or deny- and allow-list based choices are
available.

The rationale is, in some cases it's advisable to programmatically
exclude some portions of the metadata from the index if one knows in
advance they won't ever be used at search-time. this keeps the index
more lightweight and performant and avoids limitations on the length of
_indexed_ strings.

I added a integration test of the feature. I also added the possibility
of running the integration test with Cassandra on an arbitrary IP
address (e.g. Dockerized), via
`CASSANDRA_CONTACT_POINTS=10.1.1.5,10.1.1.6 poetry run pytest [...]` or
similar.

While I was at it, I added a line to the `.gitignore` since the mypy
_test_ cache was not ignored yet.

My X (Twitter) handle: @rsprrs.
4 months ago
Emilien Chauvet c3d4126eb1
community[minor]: add user agent for web scraping loaders (#22480)
**Description:** This PR adds a `USER_AGENT` env variable that is to be
used for web scraping. It creates a util to get that user agent and uses
it in the classes used for scraping in [this piece of
doc](https://python.langchain.com/v0.1/docs/use_cases/web_scraping/).
Identifying your scraper is considered a good politeness practice, this
PR aims at easing it.
**Issue:** `None`
**Dependencies:** `None`
**Twitter handle:** `None`
4 months ago
Philippe PRADOS 8250c177de
community[minor]: Add native async support to SQLChatMessageHistory (#22065)
# package community: Fix SQLChatMessageHistory

## Description
Here is a rewrite of `SQLChatMessageHistory` to properly implement the
asynchronous approach. The code circumvents [issue
22021](https://github.com/langchain-ai/langchain/issues/22021) by
accepting a synchronous call to `def add_messages()` in an asynchronous
scenario. This bypasses the bug.

For the same reasons as in [PR
22](https://github.com/langchain-ai/langchain-postgres/pull/32) of
`langchain-postgres`, we use a lazy strategy for table creation. Indeed,
the promise of the constructor cannot be fulfilled without this. It is
not possible to invoke a synchronous call in a constructor. We
compensate for this by waiting for the next asynchronous method call to
create the table.

The goal of the `PostgresChatMessageHistory` class (in
`langchain-postgres`) is, among other things, to be able to recycle
database connections. The implementation of the class is problematic, as
we have demonstrated in [issue
22021](https://github.com/langchain-ai/langchain/issues/22021).

Our new implementation of `SQLChatMessageHistory` achieves this by using
a singleton of type (`Async`)`Engine` for the database connection. The
connection pool is managed by this singleton, and the code is then
reentrant.

We also accept the type `str` (optionally complemented by `async_mode`.
I know you don't like this much, but it's the only way to allow an
asynchronous connection string).

In order to unify the different classes handling database connections,
we have renamed `connection_string` to `connection`, and `Session` to
`session_maker`.

Now, a single transaction is used to add a list of messages. Thus, a
crash during this write operation will not leave the database in an
unstable state with a partially added message list. This makes the code
resilient.

We believe that the `PostgresChatMessageHistory` class is no longer
necessary and can be replaced by:
```
PostgresChatMessageHistory = SQLChatMessageHistory
```
This also fixes the bug.


## Issue
- [issue 22021](https://github.com/langchain-ai/langchain/issues/22021)
  - Bug in _exit_history()
  - Bugs in PostgresChatMessageHistory and sync usage
  - Bugs in PostgresChatMessageHistory and async usage
- [issue
36](https://github.com/langchain-ai/langchain-postgres/issues/36)
 ## Twitter handle:
pprados

## Tests
- libs/community/tests/unit_tests/chat_message_histories/test_sql.py
(add async test)

@baskaryan, @eyurtsev or @hwchase17 can you check this PR ?
And, I've been waiting a long time for validation from other PRs. Can
you take a look?
- [PR 32](https://github.com/langchain-ai/langchain-postgres/pull/32)
- [PR 15575](https://github.com/langchain-ai/langchain/pull/15575)
- [PR 13200](https://github.com/langchain-ai/langchain/pull/13200)

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
4 months ago
Vincent Min 59bef31997
community[minor]: Improve InMemoryVectorStore with ability to persist to disk and filter on metadata. (#22186)
- **Description:** The InMemoryVectorStore is a nice and simple vector
store implementation for quick development and debugging. The current
implementation is quite limited in its functionalities. This PR extends
the functionalities by adding utility function to persist the vector
store to a json file and to load it from a json file. We choose the json
file format because it allows inspection of the database contents in a
text editor, which is great for debugging. Furthermore, it adds a
`filter` keyword that can be used to filter out documents on their
`page_content` or `metadata`.
- **Issue:** -
- **Dependencies:** -
- **Twitter handle:** @Vincent_Min
4 months ago
maang-h 89128b7a49
community[patch]: add detailed paragraph and example for BaichuanTextEmbeddings (#22031)
- **Description:** add detailed paragraph and example for
BaichuanTextEmbeddings
   - **Issue:** the issue #21983
4 months ago
Anthony Bernabeu 4e676a63b8
community[minor]: Added filter search for LanceDB (#22461)
- [ ] **community**: "vectorstore: added filtering support for LanceDB
vector store"

- [ ] **This PR adds filtering capabilities to LanceDB**:
- **Description:** In LanceDB filtering can be applied when searching
for data into the vectorstore. It is using the SQL language as mentioned
in the LanceDB documentation.
    - **Issue:** #18235 
    - **Dependencies:** No

- [ ] **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.

- [ ] **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/
4 months ago
Erick Friis 58192d617f
community: fix huggingface deprecations (#22522) 4 months ago
Ofer Mendelevitch ad502e8d50
community[minor]: Vectara Integration Update - Streaming, FCS, Chat, updates to documentation and example notebooks (#21334)
Thank you for contributing to LangChain!

**Description:** update to the Vectara / Langchain integration to
integrate new Vectara capabilities:
- Full RAG implemented as a Runnable with as_rag()
- Vectara chat supported with as_chat()
- Both support streaming response
- Updated documentation and example notebook to reflect all the changes
- Updated Vectara templates

**Twitter handle:** ofermend

**Add tests and docs**: no new tests or docs, but updated both existing
tests and existing docs
4 months ago
Bagatur e60f88ccdd
community[patch]: Release 0.2.2 (#22496) 4 months ago
Joydeep Banik Roy 3796672c67
community, milvus, pinecone, qdrant, mongo: Broadcast operation failure while using simsimd beyond v3.7.7 (#22271)
- [ ] **Packages affected**: 
  - community: fix `cosine_similarity` to support simsimd beyond 3.7.7
- partners/milvus: fix `cosine_similarity` to support simsimd beyond
3.7.7
- partners/mongodb: fix `cosine_similarity` to support simsimd beyond
3.7.7
- partners/pinecone: fix `cosine_similarity` to support simsimd beyond
3.7.7
- partners/qdrant: fix `cosine_similarity` to support simsimd beyond
3.7.7


- [ ] **Broadcast operation failure while using simsimd beyond v3.7.7**:
- **Description:** I was using simsimd 4.3.1 and the unsupported operand
type issue popped up. When I checked out the repo and ran the tests,
they failed as well (have attached a screenshot for that). Looks like it
is a variant of https://github.com/langchain-ai/langchain/issues/18022 .
Prior to 3.7.7, simd.cdist returned an ndarray but now it returns
simsimd.DistancesTensor which is ineligible for a broadcast operation
with numpy. With this change, it also remove the need to explicitly cast
`Z` to numpy array
    - **Issue:** #19905
    - **Dependencies:** No
    - **Twitter handle:** https://x.com/GetzJoydeep

<img width="1622" alt="Screenshot 2024-05-29 at 2 50 00 PM"
src="https://github.com/langchain-ai/langchain/assets/31132555/fb27b383-a9ae-4a6f-b355-6d503b72db56">

- [ ] **Considerations**: 
1. I started with community but since similar changes were there in
Milvus, MongoDB, Pinecone, and QDrant so I modified their files as well.
If touching multiple packages in one PR is not the norm, then I can
remove them from this PR and raise separate ones
2. I have run and verified that the tests work. Since, only MongoDB had
tests, I ran theirs and verified it works as well. Screenshots attached
:
<img width="1573" alt="Screenshot 2024-05-29 at 2 52 13 PM"
src="https://github.com/langchain-ai/langchain/assets/31132555/ce87d1ea-19b6-4900-9384-61fbc1a30de9">
<img width="1614" alt="Screenshot 2024-05-29 at 3 33 51 PM"
src="https://github.com/langchain-ai/langchain/assets/31132555/6ce1d679-db4c-4291-8453-01028ab2dca5">
  

I have added a test for simsimd. I feel it may not go well with the
CI/CD setup as installing simsimd is not a dependency requirement. I
have just imported simsimd to ensure simsimd cosine similarity is
invoked. However, its not a good approach. Suggestions are welcome and I
can make the required changes on the PR. Please provide guidance on the
same as I am new to the community.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
KyrianC 03178ee74f
community[minor]: Add tools calls to `ChatEdenAI` (#22320)
### Description  
Add tools implementation to `ChatEdenAI`:
- `bind_tools()`
- `with_structured_output()`

### Documentation 
Updated `docs/docs/integrations/chat/edenai.ipynb`

### Notes
We don´t support stream with tools as of yet. If stream is called with
tools we directly yield the whole message from `generate` (implemented
the same way as Anthropic did).
4 months ago
pranavvuppala 9d4350e69a
docs : Update docstrings for OpenAI base.py (#22221)
- [x] **PR title**: Update docstrings for OpenAI base.py
-**Description:** Updated the docstring of few OpenAI functions for a
better understanding of the function.
    - **Issue:** #21983

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Anindyadeep 7a197539aa
communty[patch]: Native RAG Support in Prem AI langchain (#22238)
This PR adds native RAG support in langchain premai package. The same
has been added in the docs too.
4 months ago
Rahul Triptahi 77ad857934
community[minor]: Enable retrieval api calls in PebbloRetrievalQA (#21958)
Description: Enable app discovery and Prompt/Response apis in
PebbloSafeRetrieval
Documentation: NA
Unit test: N/A

---------

Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
4 months ago
Bagatur 17c127531a
community[patch]: deprecate all HF classes (#22444) 4 months ago
Christophe Bornet 9a8fe58ebe
community[minor]: Improve Cassandra VectorStore as_retriever (#22465)
The Vectorstore's API `as_retriever` doesn't expose explicitly the
parameters `search_type` and `search_kwargs` and so these are not well
documented.
This PR improves `as_retriever` for the Cassandra VectorStore by making
these parameters explicit.

NB: An alternative would have been to modify `as_retriever` in
`Vectorstore`. But there's probably a good reason these were not exposed
in the first place ? Is it because implementations may decide to not
support them and have fixed values when creating the
VectorStoreRetriever ?
4 months ago
Fahreddin Özcan 0061ded002
community[patch]: Upstash Vector Store Namespace Support (#22251)
This PR introduces namespace support for Upstash Vector Store, which
would allow users to partition their data in the vector index.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Dristy Srivastava ef3df45d9d
community[minor]: Updating payload for pebblo discover API (#22309)
**Description:** Updating response for pebblo discover API. Also
updating filed name case type
**Documentation:** N/A
**Unit tests:** N/A
4 months ago
ccurme afe89a1411
community: add standard chat model params to Ollama (#22446) 4 months ago
Ethan Yang 52da6a160d
community[patch]: Update OpenVINO embedding and reranker to support static input shape (#22171)
It can help to deploy embedding models on NPU device
4 months ago
maang-h 01352bb55f
community[minor]: Implement MiniMaxChat interface (#22391)
- **Description:** Implement MiniMaxChat interface, include:
    - No longer inherits the LLM class (like other chat model)
    - Update request parameters (v1 -> v2)
        - update `base url`
        - update message role (system, user, assistant)
        - add `stream` function
        - no longer use `group id`
    - Implement the `_stream`, `_agenerate`, and `_astream` interfaces

[minimax v2 api
document](https://platform.minimaxi.com/document/guides/chat-model/V2?id=65e0736ab2845de20908e2dd)
4 months ago
Brandon Sharp 56e5aa4dd9
community[patch]: Airtable to allow for addtl params (#22092)
- [X] **PR title**: "community: added optional params to Airtable
table.all()"


- [X] **PR message**: 
- **Description:** Add's **kwargs to AirtableLoader to allow for kwargs:
https://pyairtable.readthedocs.io/en/latest/api.html#pyairtable.Table.all
    - **Issue:** N/A
    - **Dependencies:** N/A
    - **Twitter handle:** parakoopa88


- [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/


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

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Harichandan Roy 1f751343e2
community[patch]: update embeddings/oracleai.py (#22240)
Thank you for contributing to LangChain!

- [ ] **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"

"community/embeddings: update oracleai.py"

- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!

Adding oracle VECTOR_ARRAY_T support.

- [ ] **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.

Tests are not impacted.

- [ ] **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/

Done.

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, ccurme, vbarda, hwchase17.
4 months ago
maang-h 13140dc4ff
community[patch]: Update the default api_url and reqeust_body of sparkllm embedding (#22136)
- **Description:** When I was running the SparkLLMTextEmbeddings,
app_id, api_key and api_secret are all correct, but it cannot run
normally using the current URL.

    ```python
    # example
    from langchain_community.embeddings import SparkLLMTextEmbeddings

    embedding= SparkLLMTextEmbeddings(
        spark_app_id="my-app-id",
        spark_api_key="my-api-key",
        spark_api_secret="my-api-secret"
    )
    embedding= "hello"
    print(spark.embed_query(text1))
    ```

![sparkembedding](https://github.com/langchain-ai/langchain/assets/55082429/11daa853-4f67-45b2-aae2-c95caa14e38c)
   
So I updated the url and request body parameters according to
[Embedding_api](https://www.xfyun.cn/doc/spark/Embedding_api.html), now
it is runnable.
4 months ago
Yuwen Hu ba0dca46d7
community[minor]: Add IPEX-LLM BGE embedding support on both Intel CPU and GPU (#22226)
**Description:** [IPEX-LLM](https://github.com/intel-analytics/ipex-llm)
is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local
PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low
latency. This PR adds ipex-llm integrations to langchain for BGE
embedding support on both Intel CPU and GPU.
**Dependencies:** `ipex-llm`, `sentence-transformers`
**Contribution maintainer**: @Oscilloscope98 
**tests and docs**: 
- langchain/docs/docs/integrations/text_embedding/ipex_llm.ipynb
- langchain/docs/docs/integrations/text_embedding/ipex_llm_gpu.ipynb
-
langchain/libs/community/tests/integration_tests/embeddings/test_ipex_llm.py

---------

Co-authored-by: Shengsheng Huang <shannie.huang@gmail.com>
4 months ago
Dan 86509161b0
community: fix AzureSearch delete documents (#22315)
**Description**

Fix AzureSearch delete documents method by using FIELDS_ID variable
instead of the hard coded "id" value

**Issue:** 

This is linked to this issue:
https://github.com/langchain-ai/langchain/issues/22314

Co-authored-by: dseban <dan.seban@neoxia.com>
4 months ago
Charles John 2d81a72884
community: fix missing `apify_api_token` field in ApifyWrapper (#22421)
- **Description:** The `ApifyWrapper` class expects `apify_api_token` to
be passed as a named parameter or set as an environment variable. But
the corresponding field was missing in the class definition causing the
argument to be ignored when passed as a named param. This patch fixes
that.
4 months ago
Joan Fontanals a7ae16f912
add `embed_image` API to JinaEmbedding (#22416)
- **Description:** Add `embed_image` to JinaEmbedding to embed images
 - **Twitter handle:** https://x.com/JinaAI_
4 months ago
WU LIFU 86698b02a9
doc: fix wrong documentation on FAISS load_local function (#22310)
### Issue: #22299 

### descriptions
The documentation appears to be wrong. When the user actually sets this
parameter "asynchronous" to be True, it fails because the __init__
function of FAISS class doesn't allow this parameter. In fact, most of
the class/instance functions of this class have both the sync/async
version, so it looks like what we need is just to remove this parameter
from the doc.

Thank you for contributing to LangChain!

- [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:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [ ] **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.


- [ ] **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, ccurme, vbarda, hwchase17.

Co-authored-by: Lifu Wu <lifu@nextbillion.ai>
4 months ago
maang-h 596c062cba
community[patch]: Standardize qianfan model init args name (#22322)
- **Description:**  
    - Standardize qianfan chat model intialization arguments name
        - qianfan_ak (qianfan api key)  -> api_key
        - qianfan_sk (qianfan secret key)  ->  secret_key
       
    - Delete unuse variable
- **Issue:** #20085
4 months ago
Dobiichi-Origami 10b12e1c08
community: adding tool_call_id for every ToolCall (#22323)
- **Description:** This PR contains a bugfix which result in malfunction
of multi-turn conversation in QianfanChatEndpoint and adaption for
ToolCall and ToolMessage
4 months ago
ccurme f39e1a2288
community, docs: update token usage tracking callback + how-to guides (#22145) 4 months ago
ChengZi 404d92ded0
milvus: New langchain_milvus package and new milvus features (#21077)
New features:

- New langchain_milvus package in partner
- Milvus collection hybrid search retriever
- Zilliz cloud pipeline retriever
- Milvus Local guid
- Rag-milvus template

---------

Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
Co-authored-by: Jael Gu <mengjia.gu@zilliz.com>
Co-authored-by: Jackson <jacksonxie612@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Erick Friis <erickfriis@gmail.com>
4 months ago
Will Higgins 83d10df78d
community[patch]: Update firecrawl api key name (#22183)
Change 'FIREWALL' to 'FIRECRAWL' as I believe this may have been in
error. Other docs refer to 'FIRECRAWL_API_KEY'.

Thank you for contributing to LangChain!

- [ ] **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"


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [ ] **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.


- [ ] **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, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Pavlo Paliychuk 342df7cf83
community[minor]: Add Zep Cloud components + docs + examples (#21671)
Thank you for contributing to LangChain!

- [x] **PR title**: community: Add Zep Cloud components + docs +
examples

- [x] **PR message**: 
We have recently released our new zep-cloud sdks that are compatible
with Zep Cloud (not Zep Open Source). We have also maintained our Cloud
version of langchain components (ChatMessageHistory, VectorStore) as
part of our sdks. This PRs goal is to port these components to langchain
community repo, and close the gap with the existing Zep Open Source
components already present in community repo (added
ZepCloudMemory,ZepCloudVectorStore,ZepCloudRetriever).
Also added a ZepCloudChatMessageHistory components together with an
expression language example ported from our repo. We have left the
original open source components intact on purpose as to not introduce
any breaking changes.
    - **Issue:** -
- **Dependencies:** Added optional dependency of our new cloud sdk
`zep-cloud`
    - **Twitter handle:** @paulpaliychuk51


- [x] **Add tests and docs**


- [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.
4 months ago
Jan Soubusta cccc8fbe2f
community[patch]: DuckDB VS - expose similarity, improve performance of from_texts (#20971)
3 fixes of DuckDB vector store:
- unify defaults in constructor and from_texts (users no longer have to
specify `vector_key`).
- include search similarity into output metadata (fixes #20969)
- significantly improve performance of `from_documents`

Dependencies: added Pandas to speed up `from_documents`.
I was thinking about CSV and JSON options, but I expect trouble loading
JSON values this way and also CSV and JSON options require storing data
to disk.
Anyway, the poetry file for langchain-community already contains a
dependency on Pandas.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
4 months ago
Ameya Shenoy 8ba492ed6a
community[minor]: clickhouse -- ability to use secure connection (#22108)
- **Description:** this PR gives clickhouse client the ability to use a
secure connection to the clickhosue server
- **Issue:** fixes #22082
- **Dependencies:** -
- **Twitter handle:** `_codingcoffee_`

Signed-off-by: Ameya Shenoy <shenoy.ameya@gmail.com>
Co-authored-by: Shresth Rana <shresth@grapevine.in>
4 months ago
Rahul Triptahi 1a485f59b9
community[patch]: Put authorized identities behind a feature flag in SharepointLoader (#22125)
Description: Put authorised identities behind a feature flag, load_auth.
Documentation: N/A
Unit tests: N/A

---------

Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
4 months ago
sasha 1c9ceff503
community: add metadata to chain logging; (#22122)
Hey, I'm Sasha. The SDK engineer from [Comet](https://comet.com).
This PR updates the CometTracer class.
Added metadata to CometTracerr. From now on, both chains and spans will
send it.
4 months ago
Jirka Lhotka 7c0459faf2
community: Update costs of openai finetuned models (#22124)
- **Description:** Update costs of finetuned models and add
gpt-3-turbo-0125. Source: https://openai.com/api/pricing/
  - **Issue:** N/A
  - **Dependencies:** None
4 months ago
Eugene Yurtsev d3db83abe3
community[major]: lint for usage of xml library (#22132)
* Lint for usage of standard xml library
* Add forced opt-in for quip client
* Actual security issue is with underlying QuipClient not LangChain
integration (since the client is doing the parsing), but adding
enforcement at the LangChain level.
4 months ago
Christophe Bornet c838de5027
doc: Add doc for CassandraByteStore (#22126)
Preview:
https://langchain-git-fork-cbornet-doc-cassandrabytestore-langchain.vercel.app/v0.2/docs/integrations/stores/cassandra/
4 months ago
Eugene Yurtsev 2d693c484e
docs: fix some spelling mistakes caught by newest version of code spell (#22090)
Going to merge this even though it doesn't pass all tests, and open a
separate PR for the remaining spelling mistakes.
4 months ago
Pavel Zloi fe26f937e4
community[minor]: ManticoreSearch engine added to vectorstore (#19117)
**Description:** ManticoreSearch engine added to vectorstores
**Issue:** no issue, just a new feature
**Dependencies:** https://pypi.org/project/manticoresearch-dev/
**Twitter handle:** @EvilFreelancer

- Example notebook with test integration:

https://github.com/EvilFreelancer/langchain/blob/manticore-search-vectorstore/docs/docs/integrations/vectorstores/manticore_search.ipynb

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Bagatur 3d26807b92
community[patch]: Release. 0.2.1 (#22073) 4 months ago
maang-h 9aba9e3e33
community[patch]: Update the default “API URL” and “MODEL” of sparkllm (#22070)
- **Description:** When I was running the sparkllm, I found that the
default parameters currently used could no longer run correctly.
    - original parameters & values:
         - spark_api_url: "wss://spark-api.xf-yun.com/v3.1/chat"
         - spark_llm_domain: "generalv3"
    ```python
    # example
    
    from langchain_community.chat_models import ChatSparkLLM
    
spark = ChatSparkLLM(spark_app_id="my_app_id",
spark_api_key="my_api_key", spark_api_secret="my_api_secret")
    spark.invoke("hello")
    ```

![sparkllm](https://github.com/langchain-ai/langchain/assets/55082429/5369bfdf-4305-496a-bcf5-2d3f59d39414)

So I updated them to 3.5 (same as sparkllm official website). After the
update, they can be used normally.
    - new parameters & values:
         - spark_api_url: "wss://spark-api.xf-yun.com/v3.5/chat"
         - spark_llm_domain: "generalv3.5"
4 months ago
Martin Triska 2df8ac402a
community[minor]: Added propagation of document metadata from O365BaseLoader (#20663)
**Description:**
- Added propagation of document metadata from O365BaseLoader to
FileSystemBlobLoader (O365BaseLoader uses FileSystemBlobLoader under the
hood).
- This is done by passing dictionary `metadata_dict`: key=filename and
value=dictionary containing document's metadata
- Modified `FileSystemBlobLoader` to accept the `metadata_dict`, use
`mimetype` from it (if available) and pass metadata further into blob
loader.

**Issue:**
- `O365BaseLoader` under the hood downloads documents to temp folder and
then uses `FileSystemBlobLoader` on it.
- However metadata about the document in question is lost in this
process. In particular:
- `mime_type`: `FileSystemBlobLoader` guesses `mime_type` from the file
extension, but that does not work 100% of the time.
- `web_url`: this is useful to keep around since in RAG LLM we might
want to provide link to the source document. In order to work well with
document parsers, we pass the `web_url` as `source` (`web_url` is
ignored by parsers, `source` is preserved)

**Dependencies:**
None

**Twitter handle:**
@martintriska1

Please review @baskaryan

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
4 months ago
Eugene Yurtsev e5541d1da7
community[patch]: Update doc-string in CloudBlobLoader (#22069)
Update doc-string
4 months ago
Philippe PRADOS 6dd621d636
community[minor]: Add CloudBlobLoader that supports loading data from cloud buckets (#21957)
Thank you for contributing to LangChain!

- [ ] **PR title**: "Add CloudBlobLoader"
  - community: Add CloudBlobLoader

- [ ] **PR message**: Add cloud blob loader
    - **Description:** 
 Langchain provides several approaches to read different file formats:

Specific loaders (`CVSLoader`) or blob-compatible loaders
(`FileSystemBlobLoader`). The only implementation proposed for
BlobLoader is `FileSystemBlobLoader`.
      
Many projects retrieve files from cloud storage. We propose a new
implementation of `BlobLoader` to read files from the three cloud
storage systems. The interface is strictly identical to
`FileSystemBlobLoader`. The only difference is the constructor, which
takes a cloud "url" object such as `s3://my-bucket`, `az://my-bucket`,
or `gs://my-bucket`.
      
By streamlining the process, this novel implementation eliminates the
requirement to pre-download files from cloud storage to local temporary
files (which are seldom removed).
      
The code relies on the
[CloudPathLib](https://cloudpathlib.drivendata.org/stable/) library to
interpret cloud URLs. This has been added as an optional dependency.

```Python
loader = CloudBlobLoader("s3://mybucket/id")
for blob in loader.yield_blobs():
    print(blob)
```

- [X] **Dependencies:** CloudPathLib
- [X] **Twitter handle:** pprados


- [X] **Add tests and docs**: Add unit test, but it's easy to convert to
integration test, with some files in a cloud storage (see
`test_cloud_blob_loader.py`)

- [X] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified.

Hello from Paris @hwchase17. Can you review this PR?

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
4 months ago
Christophe Bornet 74947ec894
community[minor]: Add Cassandra ByteStore (#22064) 4 months ago
Christophe Bornet fea6b99b16
community[minor]: Add async methods to CassandraChatMessageHistory (#21975) 4 months ago
Sky 12d65f17ff
community[patch]: surrealdb provide functions for MMR (Maximal Marginal Relevance) (#21185)
This PR contains 4 added functions:

- max_marginal_relevance_search_by_vector
- amax_marginal_relevance_search_by_vector
- max_marginal_relevance_search
- amax_marginal_relevance_search

I'm no langchain expert, but tried do inspect other vectorstore sources
like chroma, to build these functions for SurrealDB. If someone has some
changes for me, please let me know. Otherwise I would be happy, if these
changes are added to the repository, so that I can use the orignal repo
and not my local monkey patched version.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Bruno Alvisio 5eabe90494
community[patch]: Adding HEADER to the list of supported locations (#21946)
**Description:** adds headers to the list of supported locations when
generating the openai function schema
4 months ago
Bagatur 50186da0a1
infra: rm unused # noqa violations (#22049)
Updating #21137
4 months ago
acho98 45ed5f3f51
community[minor]: Add Clova Embeddings for LangChain Community (#21890)
- [ ] **PR title**: "Add Naver ClovaX embedding to LangChain community"
- HyperClovaX is a large language model developed by
[Naver](https://clova-x.naver.com/welcome).
It's a powerful and purpose-trained LLM.

- You can visit the embedding service provided by
[ClovaX](https://www.ncloud.com/product/aiService/clovaStudio)

- You may get CLOVA_EMB_API_KEY, CLOVA_EMB_APIGW_API_KEY,
CLOVA_EMB_APP_ID From
https://www.ncloud.com/product/aiService/clovaStudio

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
arpitkumar980 444c2a3d9f
community[patch]: sharepoint loader identity enabled (#21176)
Thank you for contributing to LangChain!

- [ ] **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"


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [ ] **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.


- [ ] **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:https://github.com/arpitkumar980/langchain.git
- 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: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
HuiyuanYan bf3aefce93
community[patch]: Update tongyi.py to support MultimodalConversation in dashscope. (#21249)
Add the support of multimodal conversation in dashscope,now we can use
multimodal language model "qwen-vl-v1", "qwen-vl-chat-v1",
"qwen-audio-turbo" to processing picture an audio. :)

- [ ] **PR title**: "community: add multimodal conversation support in
dashscope"



- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** add multimodal conversation support in dashscope
    - **Issue:** 
    - **Dependencies:** dashscope≥1.18.0
    - **Twitter handle:** none :)


- [ ] **How to use it?**:
   - ```python
     Tongyi_chat = ChatTongyi(
        top_p=0.5,
        dashscope_api_key=api_key,
        model="qwen-vl-v1"
     )
     response= Tongyi_chat.invoke(
        input = 
        [
        {
            "role": "user",
            "content": [
{"image":
"https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"},
                {"text": "这是什么?"}
            ]
        }
        ]
       )
      ```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
MSubik d948783a4c
community[patch]: standardize init args, update for javelin sdk release. (#21980)
Related to
[20085](https://github.com/langchain-ai/langchain/issues/20085) Updated
the Javelin chat model to standardize the initialization argument. Also
fixed an existing bug, where code was initialized with incorrect call to
the JavelinClient defined in the javelin_sdk, resulting in an
initialization error. See related [Javelin
Documentation](https://docs.getjavelin.io/docs/javelin-python/quickstart).
4 months ago
Mohammad Mohtashim 16617dd239
community[patch]: AzureSearchVectorStoreRetriever Fixed to account for search_kwargs (#21572)
- **Description:** Fixed `AzureSearchVectorStoreRetriever` to account
for search_kwargs. More explanation is in the mentioned issue.
- **Issue:** #21492

---------

Co-authored-by: MAC <mac@MACs-MacBook-Pro.local>
Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Jerron Lim 28456c2c33
community[patch]: add args_schema to WikipediaQueryRun (#22019)
Description: This change adds args_schema (pydantic BaseModel) to
WikipediaQueryRun for correct schema formatting on LLM function calls

Issue: currently using WikipediaQueryRun with OpenAI function calling
returns the following error "TypeError: WikipediaQueryRun._run() got an
unexpected keyword argument '__arg1' ". This happens because the schema
sent to the LLM is "input: '{"__arg1":"Hunter x Hunter"}'" while the
method should be called with the "query" parameter.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Mazen Ramadan 3c1d77dd64
community[minor]: Add Scrapfly Loader community integration (#22036)
Added [Scrapfly](https://scrapfly.io/) Web Loader integration. Scrapfly
is a web scraping API that allows extracting web page data into
accessible markdown or text datasets.

- __Description__: Added Scrapfly web loader for retrieving web page
data as markdown or text.
- Dependencies: scrapfly-sdk
- Twitter: @thealchemi1st

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
ccurme b51a1eba4d
langchain, community: move OpenAIAssistantV2Runnable to community (#22044) 4 months ago
CaroFG 6b98140b38
community[patch]: update for compatibility with Meilisearch v1.8 (#21979)
Thank you for contributing to LangChain!

- [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:** Updates Meilisearch vectorstore for compatibility
with v1.8. Adds [”showRankingScore”:
true”](https://www.meilisearch.com/docs/reference/api/search#ranking-score)
in the search parameters and replaces `_semanticScore` field with `
_rankingScore`


- [ ] **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, ccurme, vbarda, hwchase17.
4 months ago
Oleksii Pokotylo 98c0b093bb
community[patch]: Extend AzureSearch with `maximal_marginal_relevance`, `from_embeddings` (#21065)
**Description:**
- Extend AzureSearch with `maximal_marginal_relevance` (for vector and
hybrid search)
- Add construction `from_embeddings` - if the user has already embedded
the texts
- Add `add_embeddings` 
- Refactor common parts (`_simple_search`, `_results_to_documents`,
`_reorder_results_with_maximal_marginal_relevance`)
- Add `vector_search_dimensions` as a parameter to the constructor to
avoid extra calls to `embed_query` (most of the time the user applies
the same model and knows the dimension)

**Issue:** none
**Dependencies:** none

- [x] **Add tests and docs**: The docstrings have been added to the new
functions, and unified for the existing ones. The example notebook is
great in illustrating the main usage of AzureSearch, adding the new
methods would only dilute the main content.
- [x] **Lint and test**

---------

Co-authored-by: Oleksii Pokotylo <oleksii.pokotylo@pwc.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
SaschaStoll 709664a079
community[patch]: Performant filter columns option for Hanavector (#21971)
**Description:** Backwards compatible extension of the initialisation
interface of HanaDB to allow the user to specify
specific_metadata_columns that are used for metadata storage of selected
keys which yields increased filter performance. Any not-mentioned
metadata remains in the general metadata column as part of a JSON
string. Furthermore switched to executemany for batch inserts into
HanaDB.

**Issue:** N/A

**Dependencies:** no new dependencies added

**Twitter handle:** @sapopensource

---------

Co-authored-by: Martin Kolb <martin.kolb@sap.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Eric Zhang e7e41eaabe
langchain: add RankLLM Reranker (#21171)
Integrate RankLLM reranker (https://github.com/castorini/rank_llm) into
LangChain

An example notebook is given in
`docs/docs/integrations/retrievers/rankllm-reranker.ipynb`

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
4 months ago
maang-h fc93bed8c4
community: Fix CSVLoader columns is None (#20701)
- **Bug code**: In
langchain_community/document_loaders/csv_loader.py:100

- **Description**: currently, when 'CSVLoader' reads the column as None
in the 'csv' file, it will report an error because the 'CSVLoader' does
not verify whether the column is of str type and does not consider how
to handle the corresponding 'row_data' when the column is' None 'in the
csv. This pr provides a solution.

- **Issue:**  Fix #20699 

- **thinking:**

1. Refer to the processing method for
'langchain_community/document_loaders/csv_loader.py:100' when **'v'**
equals'None', and apply the same method to '**k**'.
(Reference`csv.DictReader` ,**'k'** will only be None when `
len(columns) < len(number_row_data)` is established)
2. **‘k’** equals None only holds when it is the last column, and its
corresponding **'v'** type is a list. Therefore, I referred to the data
format in 'Document' and used ',' to concatenated the elements in the
list.(But I'm not sure if you accept this form, if you have any other
ideas, communicate)

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago