Commit Graph

311 Commits (0ae5027d9847afaacfbe75d60cf0798e7f46c7e7)

Author SHA1 Message Date
ccurme c010ec8b71
patch: deprecate (a)get_relevant_documents (#20477)
- `.get_relevant_documents(query)` -> `.invoke(query)`
- `.get_relevant_documents(query=query)` -> `.invoke(query)`
- `.get_relevant_documents(query, callbacks=callbacks)` ->
`.invoke(query, config={"callbacks": callbacks})`
- `.get_relevant_documents(query, **kwargs)` -> `.invoke(query,
**kwargs)`

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
5 months ago
shumway743 cb6e5e56c2
community[minor]: add graph store implementation for apache age (#20582)
**Description:** implemented GraphStore class for Apache Age graph db

**Dependencies:** depends on psycopg2

Unit and integration tests included. Formatting and linting have been
run.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Christophe Bornet c909ae0152
community[minor]: Add async methods to CassandraVectorStore (#20602)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
5 months ago
Tomaz Bratanic 8c08cf4619
community: Add support for relationship indexes in neo4j vector (#20657)
Neo4j has added relationship vector indexes.
We can't populate them, but we can use existing indexes for retrieval
5 months ago
Lance Martin d5c22b80a5
community[patch]: Fix Ollama for LLaMA3 (#20624)
We see verbose generations w/ LLaMA3 and Ollama - 

https://smith.langchain.com/public/88c4cd21-3d57-4229-96fe-53443398ca99/r

--- 

Fix here implies that when stop was being set to an empty list, the
stream had no conditions under which to stop, which could lead to
excessive or unintended output.

Test LLaMA2 - 

https://smith.langchain.com/public/57dfc64a-591b-46fa-a1cd-8783acaefea2/r

Test LLaMA3 - 

https://smith.langchain.com/public/76ff5f47-ac89-4772-a7d2-5caa907d3fd6/r

https://smith.langchain.com/public/a31d2fad-9094-4c93-949a-964b27630ccb/r

Test Mistral -

https://smith.langchain.com/public/a4fe7114-c308-4317-b9fd-6c86d31f1c5b/r

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
5 months ago
Christophe Bornet d2d01370bc
community[minor]: Add async methods to CassandraLoader (#20609)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
5 months ago
Pengcheng Liu ecd19a9e58
community[patch]: Add function call support in Tongyi chat model. (#20119)
- [ ] **PR message**: 
- **Description:** This pr adds function calling support in Tongyi chat
model.
    - **Issue:** None
    - **Dependencies:** None
    - **Twitter handle:** None

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
5 months ago
Sevin F. Varoglu 3f156e0ece
community[minor]: add ChatOctoAI (#20059)
This PR adds ChatOctoAI, a chat model integration for OctoAI.
5 months ago
pjb157 479be3cc91
community[minor]: Unify Titan Takeoff Integrations and Adding Embedding Support (#18775)
**Community: Unify Titan Takeoff Integrations and Adding Embedding
Support**

 **Description:** 
Titan Takeoff no longer reflects this either of the integrations in the
community folder. The two integrations (TitanTakeoffPro and
TitanTakeoff) where causing confusion with clients, so have moved code
into one place and created an alias for backwards compatibility. Added
Takeoff Client python package to do the bulk of the work with the
requests, this is because this package is actively updated with new
versions of Takeoff. So this integration will be far more robust and
will not degrade as badly over time.

**Issue:**
Fixes bugs in the old Titan integrations and unified the code with added
unit test converge to avoid future problems.

**Dependencies:**
Added optional dependency takeoff-client, all imports still work without
dependency including the Titan Takeoff classes but just will fail on
initialisation if not pip installed takeoff-client

**Twitter**
@MeryemArik9

Thanks all :)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
5 months ago
Guangdong Liu b78ede2f96
community[patch]: standardize init args (#20166)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
5 months ago
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
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
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
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
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
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
Alex Sherstinsky fad0962643
community: for Predibase -- enable both Predibase-hosted and HuggingFace-hosted fine-tuned adapter repositories (#20370) 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
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
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
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
Tomaz Bratanic 09a0ecd000
langchain[minor]: Tests update metadata filtering examples of documents (#19963)
Removing metadata properties that are dicts as some databases don't
support that, and those properties aren't used in tests anyhow..
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
Cheng, Penghui cc407e8a1b
community[minor]: weight only quantization with intel-extension-for-transformers. (#14504)
Support weight only quantization with intel-extension-for-transformers.
[Intel® Extension for
Transformers](https://github.com/intel/intel-extension-for-transformers)
is an innovative toolkit to accelerate Transformer-based models on Intel
platforms, in particular effective on 4th Intel Xeon Scalable processor
[Sapphire
Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html)
(codenamed Sapphire Rapids). The toolkit provides the below key
features:

* Seamless user experience of model compressions on Transformer-based
models by extending [Hugging Face
transformers](https://github.com/huggingface/transformers) APIs and
leveraging [Intel® Neural
Compressor](https://github.com/intel/neural-compressor)
* Advanced software optimizations and unique compression-aware runtime.
* Optimized Transformer-based model packages.
*
[NeuralChat](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat),
a customizable chatbot framework to create your own chatbot within
minutes by leveraging a rich set of plugins and SOTA optimizations.
*
[Inference](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/llm/runtime/graph)
of Large Language Model (LLM) in pure C/C++ with weight-only
quantization kernels.
This PR is an integration of weight only quantization feature with
intel-extension-for-transformers.

Unit test is in
lib/langchain/tests/integration_tests/llm/test_weight_only_quantization.py
The notebook is in
docs/docs/integrations/llms/weight_only_quantization.ipynb.
The document is in
docs/docs/integrations/providers/weight_only_quantization.mdx.

---------

Signed-off-by: Cheng, Penghui <penghui.cheng@intel.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Erick Friis f0d5b59962
core[patch]: remove requests (#19891)
Removes required usage of `requests` from `langchain-core`, all of which
has been deprecated.

- removes Tracer V1 implementations
- removes old `try_load_from_hub` github-based hub implementations

Removal done in a way where imports will still succeed, and usage will
fail with a `RuntimeError`.
5 months ago
Peter Vandenabeele e830a4e731
community[patch]: Add remove_comments option (default True): do not extract html comments (#13259)
- **Description:** add `remove_comments` option (default: True): do not
extract html _comments_,
  - **Issue:** None,
  - **Dependencies:** None,
  - **Tag maintainer:** @nfcampos ,
  - **Twitter handle:** peter_v

I ran `make format`, `make lint` and `make test`.

Discussion: I my use case, I prefer to not have the comments in the
extracted text:
* e.g. from a Google tag that is added in the html as comment
* e.g. content that the authors have temporarily hidden to make it non
visible to the regular reader

Removing the comments makes the extracted text more alike the intended
text to be seen by the reader.


**Choice to make:** do we prefer to make the default for this
`remove_comments` option to be True or False?
I have changed it to True in a second commit, since that is how I would
prefer to use it by default. Have the
cleaned text (without technical Google tags etc.) and also closer to the
actually visible and intended content.
I am not sure what is best aligned with the conventions of langchain in
general ...


INITIAL VERSION (new version above):
~**Choice to make:** do we prefer to make the default for this
`ignore_comments` option to be True or False?
I have set it to False now to be backwards compatible. On the other
hand, I would use it mostly with True.
I am not sure what is best aligned with the conventions of langchain in
general ...~

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Jamsheed Mistri 4f70bc119d
community[minor]: add Layerup Security integration (#19787)
**Description:** adds integration with [Layerup
Security](https://uselayerup.com). Docs can be found
[here](https://docs.uselayerup.com). Integrates directly with our Python
SDK.

**Dependencies:**
[LayerupSecurity](https://pypi.org/project/LayerupSecurity/)

**Note**: all methods for our product require a paid API key, so I only
included 1 test which checks for an invalid API key response. I have
tested extensively locally.

**Twitter handle**: [@layerup_](https://twitter.com/layerup_)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Anıl Berk Altuner 4384fa8e49
community[minor]: Add Dria retriever (#17098)
[Dria](https://dria.co/) is a hub of public RAG models for developers to
both contribute and utilize a shared embedding lake. This PR adds a
retriever that can retrieve documents from Dria.
5 months ago
Chenhui Zhang a1f3e9f537
community[minor]: Update ChatZhipuAI to support GLM-4 model (#16695)
Description: Update `ChatZhipuAI` to support the latest `glm-4` model.
Issue: N/A
Dependencies: httpx, httpx-sse, PyJWT

The previous `ChatZhipuAI` implementation requires the `zhipuai`
package, and cannot call the latest GLM model. This is because
- The old version `zhipuai==1.*` doesn't support the latest model.
- `zhipuai==2.*` requires `pydantic V2`, which is incompatible with
'langchain-community'.

This re-implementation invokes the GLM model by sending HTTP requests to
[open.bigmodel.cn](https://open.bigmodel.cn/dev/api) via the `httpx`
package, and uses the `httpx-sse` package to handle stream events.

---------

Co-authored-by: zR <2448370773@qq.com>
5 months ago
Kenneth Choe f98d7f7494
langchain[minor], community[minor]: add CrossEncoderReranker with HuggingFaceCrossEncoder and SagemakerEndpointCrossEncoder (#13687)
- **Description:** Support reranking based on cross encoder models
available from HuggingFace.
      - Added `CrossEncoder` schema
- Implemented `HuggingFaceCrossEncoder` and
`SagemakerEndpointCrossEncoder`
- Implemented `CrossEncoderReranker` that performs similar functionality
to `CohereRerank`
- Added `cross-encoder-reranker.ipynb` to demonstrate how to use it.
Please let me know if anything else needs to be done to make it visible
on the table-of-contents navigation bar on the left, or on the card list
on [retrievers documentation
page](https://python.langchain.com/docs/integrations/retrievers).
  - **Issue:** N/A
  - **Dependencies:** None other than the existing ones.

---------

Co-authored-by: Kenny Choe <kchoe@amazon.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Kamal Zhang 368e35c3b1
community[patch]: introduce convert_to_secret() to bananadev llm (#14283)
- **Description:** Per #12165, this PR add to BananaLLM the function
convert_to_secret_str() during environment variable validation.
- **Issue:** #12165
- **Tag maintainer:** @eyurtsev
- **Twitter handle:** @treewatcha75751

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
anshaneel 0884e5de7f
community[minor]: Add Alpha Vantage API Tool (#14332)
### Description
This implementation adds functionality from the AlphaVantage API,
renowned for its comprehensive financial data. The class encapsulates
various methods, each dedicated to fetching specific types of financial
information from the API.

### Implemented Functions

- **`search_symbols`**: 
- Searches the AlphaVantage API for financial symbols using the provided
keywords.

- **`_get_market_news_sentiment`**: 
- Retrieves market news sentiment for a specified stock symbol from the
AlphaVantage API.

- **`_get_time_series_daily`**: 
- Fetches daily time series data for a specific symbol from the
AlphaVantage API.

- **`_get_quote_endpoint`**: 
- Obtains the latest price and volume information for a given symbol
from the AlphaVantage API.

- **`_get_time_series_weekly`**: 
- Gathers weekly time series data for a particular symbol from the
AlphaVantage API.

- **`_get_top_gainers_losers`**: 
- Provides details on top gainers, losers, and most actively traded
tickers in the US market from the AlphaVantage API.

  ### Issue: 
  - #11994 
  
### Dependencies: 
  - 'requests' library for HTTP requests. (import requests)
  - 'pytest' library for testing. (import pytest)

---------

Co-authored-by: Adam Badar <94140103+adam-badar@users.noreply.github.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Alex Sherstinsky a9bc212bf2
community[minor]: fix failing Predibase integration (#19776)
- [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`


---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago