Commit Graph

3007 Commits (cc0290fdf3812c8ce307820ac1c8e592fa613a13)

Author SHA1 Message Date
Bagatur cc0290fdf3
openai[patch]: Release 0.0.7 (#17993) 7 months ago
Bagatur e045655657
core[patch]: Release 0.1.26 (#17990) 7 months ago
Reid Falconer 0534ba5a7d
langchain[patch]: return formatted SPARQL query on demand (#11263)
- **Description:** Added the `return_sparql_query` feature to the
`GraphSparqlQAChain` class, allowing users to get the formatted SPARQL
query along with the chain's result.
  - **Issue:** NA
  - **Dependencies:** None

Note: I've ensured that the PR passes linting and testing by running
make format, make lint, and make test locally.

I have added a test for the integration (which relies on network access)
and I have added an example to the notebook showing its use.
7 months ago
Leo Diegues b15fccbb99
community[patch]: Skip `OpenAIWhisperParser` extremely small audio chunks to avoid api error (#11450)
**Description**
This PR addresses a rare issue in `OpenAIWhisperParser` that causes it
to crash when processing an audio file with a duration very close to the
class's chunk size threshold of 20 minutes.

**Issue**
#11449

**Dependencies**
None

**Tag maintainer**
@agola11 @eyurtsev 

**Twitter handle**
leonardodiegues

---------

Co-authored-by: Leonardo Diegues <leonardo.diegues@grupofolha.com.br>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Jorge Villegas f6a98032e4
docs: langchain-anthropic README updates (#17684)
# PR Message

- **Description:** This PR adds a README file for the Anthropic API in
the `libs/partners` folder of this repository. The README includes:
  - A brief description of the Anthropic package
  - Installation & API instructions
  - Usage examples
  
- **Issue:**
[17545](https://github.com/langchain-ai/langchain/issues/17545)
  
- **Dependencies:** None

Additional notes:
This change only affects the docs package and does not introduce any new
dependencies.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
mackong 9678797625
community[patch]: callback before yield for _stream/_astream (#17907)
- Description: callback on_llm_new_token before yield chunk for
_stream/_astream for some chat models, make all chat models in a
consistent behaviour.
- Issue: N/A
- Dependencies: N/A
7 months ago
Chad Juliano 50ba3c68bb
community[minor]: add Kinetica LLM wrapper (#17879)
**Description:** Initial pull request for Kinetica LLM wrapper
**Issue:** N/A
**Dependencies:** No new dependencies for unit tests. Integration tests
require gpudb, typeguard, and faker
**Twitter handle:** @chad_juliano

Note: There is another pull request for Kinetica vectorstore. Ultimately
we would like to make a partner package but we are starting with a
community contribution.
7 months ago
Erick Friis ed789be8f4
docs, templates: update schema imports to core (#17885)
- chat models, messages
- documents
- agentaction/finish
- baseretriever,document
- stroutputparser
- more messages
- basemessage
- format_document
- baseoutputparser

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Leonid Ganeline 971d29e718
docs: robocorpai dosctrings (#17968)
Added missing docstrings

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
7 months ago
Bagatur b0cfb86c48
langchain[minor]: openai tools structured_output_chain (#17296)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
7 months ago
Bagatur b5f8cf9509
core[minor], openai[minor], langchain[patch]: BaseLanguageModel.with_structured_output #17302)
```python
class Foo(BaseModel):
  bar: str

structured_llm = ChatOpenAI().with_structured_output(Foo)
```

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Bagatur 9b0b0032c2
community[patch]: fix lint (#17984) 7 months ago
Christophe Bornet 4f88a5130e
langchain[patch]: Support langchain-astradb AstraDBVectorStore in self-query retriever (#17728)
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
David Loving d068e8ea54
community[patch]: compatibility with SQLAlchemy 1.4.x (#17954)
**Description:**
Change type hint on `QuerySQLDataBaseTool` to be compatible with
SQLAlchemy v1.4.x.

**Issue:**
Users locked to `SQLAlchemy < 2.x` are unable to import
`QuerySQLDataBaseTool`.

closes https://github.com/langchain-ai/langchain/issues/17819

**Dependencies:**
None
7 months ago
Erick Friis e237dcec91
pinecone[patch]: integration test debug (#17960) 7 months ago
kartikTAI 9cf6661dc5
community: use NeuralDB object to initialize NeuralDBVectorStore (#17272)
**Description:** This PR adds an `__init__` method to the
NeuralDBVectorStore class, which takes in a NeuralDB object to
instantiate the state of NeuralDBVectorStore.
**Issue:** N/A
**Dependencies:** N/A
**Twitter handle:** N/A
7 months ago
hongbo.mo a51a257575
langchain_openai[patch]: fix typos in langchain_openai (#17923)
Just a small typo
7 months ago
Brad Erickson ecd72d26cf
community: Bugfix - correct Ollama API path to avoid HTTP 307 (#17895)
Sets the correct /api/generate path, without ending /, to reduce HTTP
requests.

Reference:

https://github.com/ollama/ollama/blob/efe040f8/docs/api.md#generate-request-streaming

Before:

    DEBUG: Starting new HTTP connection (1): localhost:11434
    DEBUG: http://localhost:11434 "POST /api/generate/ HTTP/1.1" 307 0
    DEBUG: http://localhost:11434 "POST /api/generate HTTP/1.1" 200 None

After:

    DEBUG: Starting new HTTP connection (1): localhost:11434
    DEBUG: http://localhost:11434 "POST /api/generate HTTP/1.1" 200 None
7 months ago
Erick Friis a53370a060
pinecone[patch], docs: PineconeVectorStore, release 0.0.3 (#17896) 7 months ago
Graden Rea e5e38e89ce
partner: Add groq partner integration and chat model (#17856)
Description: Add a Groq chat model
issue: TODO
Dependencies: groq
Twitter handle: N/A
7 months ago
Hasan 7248e98b9e
community[patch]: Return PK in similarity search Document (#17561)
Issue: #17390

Co-authored-by: hasan <hasan@m2sys.com>
7 months ago
Raunak 1ec8199c8e
community[patch]: Added more functions in NetworkxEntityGraph class (#17624)
- **Description:** 
1. Added add_node(), remove_node(), has_node(), remove_edge(),
has_edge() and get_neighbors() functions in
       NetworkxEntityGraph class.

2. Added the above functions in graph_networkx_qa.ipynb documentation.
7 months ago
Christophe Bornet 0e26b16930
docs: Fix AstraDBVectorStore docstring (#17706) 7 months ago
Christophe Bornet 3d91be94b1
community[patch]: Add missing async_astra_db_client param to AstraDBChatMessageHistory (#17742) 7 months ago
Xudong Sun c524bf31f5
docs: add helpful comments to sparkllm.py (#17774)
Adding helpful comments to sparkllm.py, help users to use ChatSparkLLM
more effectively
7 months ago
Ian 3019a594b7
community[minor]: Add tidb loader support (#17788)
This pull request support loading data from TiDB database with
Langchain.

A simple usage:
```
from  langchain_community.document_loaders import TiDBLoader

CONNECTION_STRING = "mysql+pymysql://root@127.0.0.1:4000/test"

QUERY = "select id, name, description from items;"
loader = TiDBLoader(
    connection_string=CONNECTION_STRING,
    query=QUERY,
    page_content_columns=["name", "description"],
    metadata_columns=["id"],
)
documents = loader.load()
print(documents)
```
7 months ago
Christophe Bornet 815ec74298
docs: Add docstring to AstraDBStore (#17793) 7 months ago
ehude 9e54c227f1
community[patch]: Bug Neo4j VectorStore when having multiple indexes the sort is not working and the store that returned is random (#17396)
Bug fix: when having multiple indexes the sort is not working and the
store that returned is random.
The following small fix resolves the issue.
7 months ago
Michael Feil 242981b8f0
community[minor]: infinity embedding local option (#17671)
**drop-in-replacement for sentence-transformers
inference.**

https://github.com/langchain-ai/langchain/discussions/17670

tldr from the discussion above -> around a 4x-22x speedup over using
SentenceTransformers / huggingface embeddings. For more info:
https://github.com/michaelfeil/infinity (pure-python dependency)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Leonid Ganeline ed0b7c3b72
docs: added `community` modules descriptions (#17827)
API Reference: Several `community` modules (like
[adapter](https://api.python.langchain.com/en/latest/community_api_reference.html#module-langchain_community.adapters)
module) are missing descriptions. It happens when langchain was split to
the core, langchain and community packages.
- Copied module descriptions from other packages
- Fixed several descriptions to the consistent format.
7 months ago
Christophe Bornet 5019951a5d
docs: AstraDB VectorStore docstring (#17834) 7 months ago
Leonid Ganeline 2f2b77602e
docs: modules descriptions (#17844)
Several `core` modules do not have descriptions, like the
[agent](https://api.python.langchain.com/en/latest/core_api_reference.html#module-langchain_core.agents)
module.
- Added missed module descriptions. The descriptions are mostly copied
from the `langchain` or `community` package modules.
7 months ago
Christophe Bornet f8a3b8e83f
docs: Update langchain-astradb README with AstraDBStore (#17864) 7 months ago
Rohit Gupta 3acd0c74fc
community[patch]: added SCANN index in default search params (#17889)
This will enable users to add data in same collection for index type
SCANN for milvus
7 months ago
Karim Assi afc1ba0329
community[patch]: add possibility to search by vector in OpenSearchVectorSearch (#17878)
- **Description:** implements the missing `similarity_search_by_vector`
function for `OpenSearchVectorSearch`
- **Issue:** N/A
- **Dependencies:** N/A
7 months ago
Nathan Voxland (Activeloop) 9ece134d45
docs: Improved deeplake.py init documentation (#17549)
**Description:** 
Updated documentation for DeepLake init method.

Especially the exec_option docs needed improvement, but did a general
cleanup while I was looking at it.

**Issue:** n/a
**Dependencies:** None

---------

Co-authored-by: Nathan Voxland <nathan@voxland.net>
7 months ago
Zachary Toliver 29ee0496b6
community[patch]: Allow override of 'fetch_schema_from_transport' in the GraphQL tool (#17649)
- **Description:** In order to override the bool value of
"fetch_schema_from_transport" in the GraphQLAPIWrapper, a
"fetch_schema_from_transport" value needed to be added to the
"_EXTRA_OPTIONAL_TOOLS" dictionary in load_tools in the "graphql" key.
The parameter "fetch_schema_from_transport" must also be passed in to
the GraphQLAPIWrapper to allow reading of the value when creating the
client. Passing as an optional parameter is probably best to avoid
breaking changes. This change is necessary to support GraphQL instances
that do not support fetching schema, such as TigerGraph. More info here:
[TigerGraph GraphQL Schema
Docs](https://docs.tigergraph.com/graphql/current/schema)
  - **Threads handle:** @zacharytoliver

---------

Co-authored-by: Zachary Toliver <zt10191991@hotmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
mackong 31891092d8
community[patch]: add missing chunk parameter for _stream/_astream (#17807)
- Description: Add missing chunk parameter for _stream/_astream for some
chat models, make all chat models in a consistent behaviour.
- Issue: N/A
- Dependencies: N/A
7 months ago
ccurme 1b0802babe
core: fix .bind when used with RunnableLambda async methods (#17739)
**Description:** Here is a minimal example to illustrate behavior:
```python
from langchain_core.runnables import RunnableLambda

def my_function(*args, **kwargs):
    return 3 + kwargs.get("n", 0)

runnable = RunnableLambda(my_function).bind(n=1)


assert 4 == runnable.invoke({})
assert [4] == list(runnable.stream({}))

assert 4 == await runnable.ainvoke({})
assert [4] == [item async for item in runnable.astream({})]
```
Here, `runnable.invoke({})` and `runnable.stream({})` work fine, but
`runnable.ainvoke({})` raises
```
TypeError: RunnableLambda._ainvoke.<locals>.func() got an unexpected keyword argument 'n'
```
and similarly for `runnable.astream({})`:
```
TypeError: RunnableLambda._atransform.<locals>.func() got an unexpected keyword argument 'n'
```
Here we assume that this behavior is undesired and attempt to fix it.

**Issue:** https://github.com/langchain-ai/langchain/issues/17241,
https://github.com/langchain-ai/langchain/discussions/16446
7 months ago
volodymyr-memsql 0a9a519a39
community[patch]: Added add_images method to SingleStoreDB vector store (#17871)
In this pull request, we introduce the add_images method to the
SingleStoreDB vector store class, expanding its capabilities to handle
multi-modal embeddings seamlessly. This method facilitates the
incorporation of image data into the vector store by associating each
image's URI with corresponding document content, metadata, and either
pre-generated embeddings or embeddings computed using the embed_image
method of the provided embedding object.

the change includes integration tests, validating the behavior of the
add_images. Additionally, we provide a notebook showcasing the usage of
this new method.

---------

Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>
7 months ago
Shashank 8381f859b4
community[patch]: Graceful handling of redis errors in RedisCache and AsyncRedisCache (#17171)
- **Description:**
The existing `RedisCache` implementation lacks proper handling for redis
client failures, such as `ConnectionRefusedError`, leading to subsequent
failures in pipeline components like LLM calls. This pull request aims
to improve error handling for redis client issues, ensuring a more
robust and graceful handling of such errors.

  - **Issue:**  Fixes #16866
  - **Dependencies:** No new dependency
  - **Twitter handle:** N/A

Co-authored-by: snsten <>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
7 months ago
Christophe Bornet e6311d953d
community[patch]: Add AstraDBLoader docstring (#17873) 7 months ago
nbyrneKX c1bb5fd498
community[patch]: typo in doc-string for kdbai vectorstore (#17811)
community[patch]: typo in doc-string for kdbai vectorstore (#17811)
7 months ago
Christophe Bornet f59ddcab74
partners/astradb: Use single file instead of module for AstraDBVectorStore (#17644) 7 months ago
Savvas Mantzouranidis 691ff67096
partners/openai: fix depracation errors of pydantic's .dict() function (reopen #16629) (#17404)
---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Christophe Bornet bebe401b1a
astradb[patch]: Add AstraDBStore to langchain-astradb package (#17789)
Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Bagatur 4e28888d45
core[patch]: Release 0.1.25 (#17833) 7 months ago
Erick Friis f154cd64fe
astradb[patch]: relaxed httpx version constraint (#17826)
relock to newest sdk
7 months ago
Nuno Campos 223e5eff14
Add JSON representation of runnable graph to serialized representation (#17745)
Sent to LangSmith

Thank you for contributing to LangChain!

Checklist:

- [ ] PR title: Please title your PR "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 template message** and replace it
with the following bulleted list
    - **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!
- [ ] Pass lint and test: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified to check that you're
passing lint and testing. See contribution guidelines for more
information on how to write/run tests, lint, etc:
https://python.langchain.com/docs/contributing/
- [ ] 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.

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.
7 months ago
Guangdong Liu 47b1b7092d
community[minor]: Add SparkLLM to community (#17702) 7 months ago