Commit Graph

1052 Commits (ce0b0f22a175139df8f41cdcfb4d2af411112009)

Author SHA1 Message Date
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
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
Sihan Chen 1f81277b9b
community[minor]: allow enabling proxy in aiohttp session in AsyncHTML (#19499)
Allow enabling proxy in aiohttp session async html
4 months ago
Eugene Yurtsev 36813d2f00
community[patch]: Fix remaining __inits__ in community (#22037)
Fixes the __init__ files in community to use __all__ which is statically
defined.
4 months ago
Eugene Yurtsev 58360a1e53
community[patch]: Add unit test to verify that init is correctly defined (#22030)
Fix some __init__ files and add a unit test
4 months ago
Matthew Hoffman 4f2e3bd7fd
community[patch]: fix public interface for embeddings module (#21650)
## Description

The existing public interface for `langchain_community.emeddings` is
broken. In this file, `__all__` is statically defined, but is
subsequently overwritten with a dynamic expression, which type checkers
like pyright do not support. pyright actually gives the following
diagnostic on the line I am requesting we remove:


[reportUnsupportedDunderAll](https://github.com/microsoft/pyright/blob/main/docs/configuration.md#reportUnsupportedDunderAll):

```
Operation on "__all__" is not supported, so exported symbol list may be incorrect
```

Currently, I get the following errors when attempting to use publicablly
exported classes in `langchain_community.emeddings`:

```python
import langchain_community.embeddings

langchain_community.embeddings.HuggingFaceEmbeddings(...)  #  error: "HuggingFaceEmbeddings" is not exported from module "langchain_community.embeddings" (reportPrivateImportUsage)
```

This is solved easily by removing the dynamic expression.
4 months ago
Tomaz Bratanic d8a1f1114d
community[patch]: Handle exceptions where node props aren't consistent in neo4j schema (#22027) 4 months ago
WeichenXu b0ef5e778a
community[patch]: Fix ChatDatabricsk in case that streaming response doesn't have role field in delta chunk (#21897)
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"


**Description:**
Fix ChatDatabricsk in case that streaming response doesn't have role
field in delta chunk


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


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

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

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

---------

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
4 months ago
Kefan You 24b5c27bb1
community[patch]: raise_for_status logic missing in async _fetch of WebBaseLoader (#21948)
## 'raise_for_status' parameter of WebBaseLoader works in sync load but
not in async load.
In webBaseLoader:  

Sync load is calling `_scrape` and has `raise_for_status` properly
handled.
```
    def _scrape(
        self,
        url: str,
        parser: Union[str, None] = None,
        bs_kwargs: Optional[dict] = None,
    ) -> Any:
        from bs4 import BeautifulSoup

        if parser is None:
            if url.endswith(".xml"):
                parser = "xml"
            else:
                parser = self.default_parser

        self._check_parser(parser)

        html_doc = self.session.get(url, **self.requests_kwargs)
        if self.raise_for_status:
            html_doc.raise_for_status()

        if self.encoding is not None:
            html_doc.encoding = self.encoding
        elif self.autoset_encoding:
            html_doc.encoding = html_doc.apparent_encoding
        return BeautifulSoup(html_doc.text, parser, **(bs_kwargs or {}))
```
Async load is calling `_fetch` but missing `raise_for_status` logic.
```
    async def _fetch(
        self, url: str, retries: int = 3, cooldown: int = 2, backoff: float = 1.5
    ) -> str:
        async with aiohttp.ClientSession() as session:
            for i in range(retries):
                try:
                    async with session.get(
                        url,
                        headers=self.session.headers,
                        ssl=None if self.session.verify else False,
                        cookies=self.session.cookies.get_dict(),
                    ) as response:
                        return await response.text()
```

Co-authored-by: kefan.you <darkfss@sina.com>
4 months ago
Pengcheng Liu 4cf523949a
community[patch]: Update model client to support vision model in Tong… (#21474)
- **Description:** Tongyi uses different client for chat model and
vision model. This PR chooses proper client based on model name to
support both chat model and vision model. Reference [tongyi
document](https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-qianwen-vl-plus-api?spm=a2c4g.11186623.0.0.27404c9a7upm11)
for details.

```
from langchain_core.messages import HumanMessage
from langchain_community.chat_models import ChatTongyi

llm = ChatTongyi(model_name='qwen-vl-max')
image_message = {
    "image": "https://lilianweng.github.io/posts/2023-06-23-agent/agent-overview.png"
}
text_message = {
    "text": "summarize this picture",
}
message = HumanMessage(content=[text_message, image_message])
llm.invoke([message])
```

- **Issue:** None
- **Dependencies:** None
- **Twitter handle:** None
4 months ago
Sevin F. Varoglu 1bc0ea5496
community[patch]: update OctoAIEmbeddings to subclass OpenAIEmbeddings (#21805) 4 months ago
Bagatur 72d4a8eeed
community[patch]: AzureSearch dont overwrite default async (#21989) 4 months ago
Yulong Wang 8e1aeb8ad5
community[patch]: Fix typo in arxiv tool's doc (#21970)
Fix typo in arxiv tool's doc
4 months ago
Robert Caulk 54adcd9e82
community[minor]: add AskNews retriever and AskNews tool (#21581)
We add a tool and retriever for the [AskNews](https://asknews.app)
platform with example notebooks.

The retriever can be invoked with:

```py
from langchain_community.retrievers import AskNewsRetriever

retriever = AskNewsRetriever(k=3)

retriever.invoke("impact of fed policy on the tech sector")
```

To retrieve 3 documents in then news related to fed policy impacts on
the tech sector. The included notebook also includes deeper details
about controlling filters such as category and time, as well as
including the retriever in a chain.

The tool is quite interesting, as it allows the agent to decide how to
obtain the news by forming a query and deciding how far back in time to
look for the news:

```py
from langchain_community.tools.asknews import AskNewsSearch
from langchain import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_openai import ChatOpenAI

tool = AskNewsSearch()

instructions = """You are an assistant."""
base_prompt = hub.pull("langchain-ai/openai-functions-template")
prompt = base_prompt.partial(instructions=instructions)
llm = ChatOpenAI(temperature=0)
asknews_tool = AskNewsSearch()
tools = [asknews_tool]
agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(
    agent=agent,
    tools=tools,
    verbose=True,
)

agent_executor.invoke({"input": "How is the tech sector being affected by fed policy?"})
```

---------

Co-authored-by: Emre <e@emre.pm>
4 months ago
Jesse S fc79b372cb
community[minor]: add aerospike vectorstore integration (#21735)
Please let me know if you see any possible areas of improvement. I would
very much appreciate your constructive criticism if time allows.

**Description:**
- Added a aerospike vector store integration that utilizes
[Aerospike-Vector-Search](https://aerospike.com/products/vector-database-search-llm/)
add-on.
- Added both unit tests and integration tests
- Added a docker compose file for spinning up a test environment
- Added a notebook

 **Dependencies:** any dependencies required for this change
- aerospike-vector-search

 **Twitter handle:** 
- No twitter, you can use my GitHub handle or LinkedIn if you'd like

Thanks!

---------

Co-authored-by: Jesse Schumacher <jschumacher@aerospike.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Prince Canuma 3587c60396
community[patch]: Fix MLX LLM Stream (#20575)
Closes #20561

This PR fixes MLX LLM stream `AttributeError`. 

Recently, `mlx-lm` changed the token decoding logic, which affected the
LC+MLX integration.

Additionally, I made minor fixes such as: docs example broken link and
enforcing pipeline arguments (max_tokens, temp and etc) for invoke.
   
- **Issue:** #20561
    
- **Twitter handle:** @Prince_Canuma
4 months ago
Rahul Triptahi 96bd0b0844
community[patch]: Remove redundant pebblo cloud api call (#21589)
Description: removed redundant pebblo cloud api call. Changed classified
`doc` key to `ai_apps_data`.
Documentation: N/A
Unit tests: N/A
4 months ago
Param Singh d07885f8b7
community[patch]: standardized sparkllm init args (#21633)
Related to #20085 
@baskaryan 

Thank you for contributing to LangChain!

community:sparkllm[patch]: standardized init args

updated `spark_api_key` so that aliased to `api_key`. Added integration
test for `sparkllm` to test that it continues to set the same underlying
attribute.

updated temperature with Pydantic Field, added to the integration test.

Ran `make format`,`make test`, `make lint`, `make spell_check`
4 months ago
Dhruv Chawla d4359d3de6
community[patch]: Update UpTrain Callback Handler to support the new UpTrain evaluation schema (#21656)
UpTrain has a new dashboard now that makes it easier to view projects
and evaluations. Using this requires specifying both project_name and
evaluation_name when performing evaluations. I have updated the code to
support it.
4 months ago
Alex Riina c0e3c3a350
openai[patch], community[patch]: add pricing and max context window for GPT-4o (#21673)
# Add pricing and max context window for GPT-4o
- community: add cost per 1k tokens and max context window
- partners: add max context window

**Description:** adds static information about GPT-4o based on
https://openai.com/api/pricing/ and
https://platform.openai.com/docs/models/gpt-4o so that GPT-4o reporting
is accurate.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
缨缨 bd39b2ccdf
community: enable SupabaseVectorStore to support extended table fields (#21762)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: enable SupabaseVectorStore to support
extended table fields"

- [x] **PR message**: 
- Added extension fields to the function _add_vectors so that users can
add other custom fields when insert a record into the database. eg:
    

![image](https://github.com/langchain-ai/langchain/assets/10885578/e1d5ca20-936e-4cab-ba69-8fdd23b8ce8f)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Jens b0b302ec6b
community[patch]: fixed aleph alpha default emedding request (#21826)
- **Description:** In the aleph alpha client the paramater `normalize`
is *not* optional. Setting this to `None` gives an error.
- **Dependencies:** None

Co-authored-by: Jens Lücke <jens.luecke@tngtech.com>
Co-authored-by: Jens <jens.luecke@hu-berlin.de>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Jorge Piedrahita Ortiz e6207ad4f3
community[patch]: Sambanova integration api update (#21848)
- **Description:**:
        SambaStudio generic endpoint compatibility added
        Improved error description, and handling
        streaming examples added
4 months ago
Liuww 332ffed393
community[patch]: Adopting the lighter-weight xinference_client (#21900)
While integrating the xinference_embedding, we observed that the
downloaded dependency package is quite substantial in size. With a focus
on resource optimization and efficiency, if the project requirements are
limited to its vector processing capabilities, we recommend migrating to
the xinference_client package. This package is more streamlined,
significantly reducing the storage space requirements of the project and
maintaining a feature focus, making it particularly suitable for
scenarios that demand lightweight integration. Such an approach not only
boosts deployment efficiency but also enhances the application's
maintainability, rendering it an optimal choice for our current context.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Jiří Spilka 6499897c87
community[patch]: update apify integration to attribute API activity to langchain (#21909)
**Description:** Add `Origin/langchain` to Apify's client's user-agent
to attribute API activity to LangChain (at Apify, we aim to monitor our
integrations to evaluate whether we should invest more in the LangChain
integration regarding functionality and content)

**Issue:** None
**Dependencies:** None
**Twitter handle:** None
4 months ago
Tomaz Bratanic d85e46321a
community[patch]: Better error message for neo4j vector when text is null (#21861) 4 months ago
WilliamEspegren 30bca57aae
doc list not empty (#21208)
Make sure the doc list is not empty, and set Metadata: true in param, to
enable the user to disable metadata for slightly faster crawls.
4 months ago
TJ 8cd6ed3e1e
community[patch]: Update documentation string in databricks chat model (#21915)
Update typos in documentation string in databricks chat model
4 months ago
Eugene Yurtsev e3f30b4cde
docs: clean up link to bing search (#21825)
Documentation should be inlined, not linking to medium article.
4 months ago
Sen Lin eb7f07ae36
community[patch]: fix typo in ValueError message in load_local function (#21818)
**Description:**
Corrected an error in the `allow_dangerous_deserialization` message
within the `load_local` functions
4 months ago
Jorge Piedrahita Ortiz 700b1c7212
community: sambaverse api update (#21816)
- **Description:** fix sambaverse integration to make it compatible with
sambaverse API update / minor changes in docs
4 months ago
maang-h 9f8d18c028
community[patch]: Fix unintended newline in print statement in exception for BaichuanTextEmbeddings (#21820)
- **Code:** langchain_community/embeddings/baichuan.py:82
- **Description:** When I make an error using 'baichuan embeddings', the
printed error message is wrapped (there is actually no need to wrap)
```python
# example
from langchain_community.embeddings import BaichuanTextEmbeddings

# error key
BAICHUAN_API_KEY = "sk-xxxxxxxxxxxxx"
embeddings = BaichuanTextEmbeddings(baichuan_api_key=BAICHUAN_API_KEY)

text_1 = "今天天气不错"
query_result = embeddings.embed_query(text_1)
```



![unintended
newline](https://github.com/langchain-ai/langchain/assets/55082429/e1178ce8-62bb-405d-a4af-e3b28eabc158)
4 months ago
Eugene Yurtsev 8607735b80
langchain[patch],community[patch]: Move unit tests that depend on community to community (#21685) 4 months ago
Marco Lamina d0fae6cd54
community: Add token cost for GPT-4o model (#21771)
Adding [token cost for the new GPT-4o
model](https://openai.com/api/pricing/):
* Input cost US$5.00 / 1M tokens
* Output cost US$15.00 / 1M tokens
4 months ago
Massimiliano Pronesti 0c0db7c5db
feat(community): support semantic hybrid score threshold in Azure AI Search (#21527)
Support semantic hybrid search with a score threshold -- similar to what
we do for similarity search and for hybrid search (#20907).
4 months ago
Stefano Lottini 040597e832
community: init signature revision for Cassandra LLM cache classes + small maintenance (#17765)
This PR improves on the `CassandraCache` and `CassandraSemanticCache`
classes, mainly in the constructor signature, and also introduces
several minor improvements around these classes.

### Init signature

A (sigh) breaking change is tentatively introduced to the constructor.
To me, the advantages outweigh the possible discomfort: the new syntax
places the DB-connection objects `session` and `keyspace` later in the
param list, so that they can be given a default value. This is what
enables the pattern of _not_ specifying them, provided one has
previously initialized the Cassandra connection through the versatile
utility method `cassio.init(...)`.

In this way, a much less unwieldy instantiation can be done, such as
`CassandraCache()` and `CassandraSemanticCache(embedding=xyz)`,
everything else falling back to defaults.

A downside is that, compared to the earlier signature, this might turn
out to be breaking for those doing positional instantiation. As a way to
mitigate this problem, this PR typechecks its first argument trying to
detect the legacy usage.
(And to make this point less tricky in the future, most arguments are
left to be keyword-only).

If this is considered too harsh, I'd like guidance on how to further
smoothen this transition. **Our plan is to make the pattern of optional
session/keyspace a standard across all Cassandra classes**, so that a
repeatable strategy would be ideal. A possibility would be to keep
positional arguments for legacy reasons but issue a deprecation warning
if any of them is actually used, to later remove them with 0.2 - please
advise on this point.

### Other changes

- class docstrings: enriched, completely moved to class level, added
note on `cassio.init(...)` pattern, added tiny sample usage code.
- semantic cache: revised terminology to never mention "distance" (it is
in fact a similarity!). Kept the legacy constructor param with a
deprecation warning if used.
- `llm_caching` notebook: uniform flow with the Cassandra and Astra DB
separate cases; better and Cassandra-first description; all imports made
explicit and from community where appropriate.
- cache integration tests moved to community (incl. the imported tools),
env var bugfix for `CASSANDRA_CONTACT_POINTS`.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
4 months ago
Kyle Cassidy eca8c4bcc6
Standardized openai init params (#21739)
## Patch Summary
community:openai[patch]: standardize init args

## Details
I made changes to the OpenAI Chat API wrapper test in the Langchain
open-source repository

- **File**: `libs/community/tests/unit_tests/chat_models/test_openai.py`
- **Changes**:
  - Updated `max_retries` with Pydantic Field
  - Updated the corresponding unit test
- **Related Issues**: #20085
  - Updated max_retries with Pydantic Field, updated the unit test.

---------

Co-authored-by: JuHyung Son <sonju0427@gmail.com>
4 months ago
Ethan Yang e44b448ec3
community: update openvino doc with streaming support (#21519)
Co-authored-by: Chester Curme <chester.curme@gmail.com>
4 months ago
ccurme 19e6bf814b
community: fix CI (#21766) 4 months ago
Mish Ushakov d77e60a7f4
community: updated Browserbase loader (#21757)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: updated Browserbase loader"

- [x] **PR message**:
    Updates the Browserbase loader with more options and improved 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/
4 months ago
Cheese 0ead09f84d
community: Implement `bind_tools` for ChatTongyi (#20725)
## Description

Implement `bind_tools` in ChatTongyi. Usage example:

```py
from langchain_core.tools import tool
from langchain_community.chat_models.tongyi import ChatTongyi

@tool
def multiply(first_int: int, second_int: int) -> int:
    """Multiply two integers together."""
    return first_int * second_int

llm = ChatTongyi(model="qwen-turbo")

llm_with_tools = llm.bind_tools([multiply])

msg = llm_with_tools.invoke("What's 5 times forty two")

print(msg)
```

Streaming is also supported.

## Dependencies

No Dependency is required for this change.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
4 months ago
Harrison Chase 15be439719
Harrison/move flashrank rerank (#21448)
third party integration, should be in community
4 months ago
Rajendra Kadam 54e003268e
langchain[minor]: Add PebbloRetrievalQA chain with Identity & Semantic Enforcement support (#20641)
- **Description:** PebbloRetrievalQA chain introduces identity
enforcement using vector-db metadata filtering
- **Dependencies:** None
- **Issue:** None
- **Documentation:** Adding documentation for PebbloRetrievalQA chain in
a separate PR(https://github.com/langchain-ai/langchain/pull/20746)
- **Unit tests:** New unit-tests added

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
4 months ago
Anush edd68e4ad4
qdrant: init package (#21146)
## Description

This PR introduces the new `langchain-qdrant` partner package, intending
to deprecate the community package.

## Changes

- Moved the Qdrant vector store implementation `/libs/partners/qdrant`
with integration tests.
- The conditional imports of the client library are now regular with
minor implementation improvements.
- Added a deprecation warning to
`langchain_community.vectorstores.qdrant.Qdrant`.
- Replaced references/imports from `langchain_community` with either
`langchain_core` or by moving the definitions to the `langchain_qdrant`
package itself.
- Updated the Qdrant vector store documentation to reflect the changes.

## Testing
- `QDRANT_URL` and
[`QDRANT_API_KEY`](583e36bf6b)
env values need to be set to [run integration
tests](d608c93d1f)
in the [cloud](https://cloud.qdrant.tech).
- If a Qdrant instance is running at `http://localhost:6333`, the
integration tests will use it too.
- By default, tests use an
[`in-memory`](https://github.com/qdrant/qdrant-client?tab=readme-ov-file#local-mode)
instance(Not comprehensive).

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Erick Friis <erickfriis@gmail.com>
4 months ago
Prashanth Rao 63c3a0e56c
[community][graph]: Update KuzuQAChain and docs (#21218)
This PR makes some small updates for `KuzuQAChain` for graph QA.

- Updated Cypher generation prompt (we now support `WHERE EXISTS`) and
generalize it more
- Support different LLMs for Cypher generation and QA
- Update docs and examples
4 months ago
Jofthomas afd85b60fc
huggingface: init package (#21097)
First Pr for the langchain_huggingface partner Package

- Moved some of the hugging face related class from `community` to the
new `partner package`

Still needed :
- Documentation
- Tests
- Support for the new apply_chat_template in `ChatHuggingFace`
- Confirm choice of class to support for embeddings witht he
sentence-transformer team.

cc : @efriis

---------

Co-authored-by: Cyril Kondratenko <kkn1993@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
4 months ago
Tomaz Bratanic 9fce03e7db
community[patch]: Fix neo4j enhanced schema (#21582) 4 months ago
Christophe Bornet 66a4da8ad0
community[patch]: Improve Cassandra VectorStore docsctrings (#21620) 4 months ago