742 Commits (b66a4f48fa5656871c3e849f7e1790dfb5a4c56b)

Author	SHA1	Message	Date
balloonio	b66a4f48fa	community[patch]: Invoke callback prior to yielding token fix [DeepInfra] (#20427) ... - [x] **PR title**: community[patch]: Invoke callback prior to yielding token fix for [DeepInfra] - [x] **PR message**: - **Description:** Invoke callback prior to yielding token in stream method in [DeepInfra] - **Issue:** https://github.com/langchain-ai/langchain/issues/16913 - **Dependencies:** None - **Twitter handle:** @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
Juan Carlos José Camacho	450c458f8f	community[minor]: Add Datahareld tool (#19680) ... **Description:** Integrate [dataherald](https://www.dataherald.com) tool, It is a natural language-to-SQL tool. **Dependencies:** Install dataherald sdk to use it, ``` pip install dataherald ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Christophe Bornet <cbornet@hotmail.com>	5 months ago
Egor Krasheninnikov	c8391d4ff1	community[patch]: Fix YandexGPT embeddings (#19720) ... Fix of YandexGPT embeddings. The current version uses a single `model_name` for queries and documents, essentially making the `embed_documents` and `embed_query` methods the same. Yandex has a different endpoint (`model_uri`) for encoding documents, see [this](https://yandex.cloud/en/docs/yandexgpt/concepts/embeddings). The bug may impact retrievers built with `YandexGPTEmbeddings` (for instance FAISS database as retriever) since they use both `embed_documents` and `embed_query`. A simple snippet to test the behaviour: ```python from langchain_community.embeddings.yandex import YandexGPTEmbeddings embeddings = YandexGPTEmbeddings() q_emb = embeddings.embed_query('hello world') doc_emb = embeddings.embed_documents(['hello world', 'hello world']) q_emb == doc_emb[0] ``` The response is `True` with the current version and `False` with the changes I made. Twitter: @egor_krash --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Guangdong Liu	4be7ca7b4c	community[patch]:sparkllm standardize init args (#20194) ... Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
Yuki Oshima	0758da8940	community[patch]: Set default value for _ListSQLDatabaseToolInput tool_input (#20409) ... **Description:** `_ListSQLDatabaseToolInput` raise error if model returns `{}`. For example, gpt-4-turbo returns `{}` with SQL Agent initialized by `create_sql_agent`. So, I set default value `""` for `_ListSQLDatabaseToolInput` tool_input. This is actually a gpt-4-turbo issue, not a LangChain issue, but I thought it would be helpful to set a default value `""`. This problem is discussed in detail in the following Issue. **Issue:** https://github.com/langchain-ai/langchain/issues/20405 **Dependencies:** none Sorry, I did not add or change the test code, as tests for this components was not exist . However, I have tested the following code based on the [SQL Agent Document](https://python.langchain.com/docs/use_cases/sql/agents/), to make sure it works. ``` from langchain_community.agent_toolkits.sql.base import create_sql_agent from langchain_community.utilities.sql_database import SQLDatabase from langchain_openai import ChatOpenAI db = SQLDatabase.from_uri("sqlite:///Chinook.db") llm = ChatOpenAI(model="gpt-4-turbo", temperature=0) agent_executor = create_sql_agent(llm, db=db, agent_type="openai-tools", verbose=True) result = agent_executor.invoke("List the total sales per country. Which country's customers spent the most?") print(result["output"]) ```	5 months ago
ccurme	38faa74c23	community[patch]: update use of deprecated llm methods (#20393) ... .predict and .predict_messages for BaseLanguageModel and BaseChatModel	5 months ago
Corey Zumar	3a068b26f3	community[patch]: Databricks - fix scope of dangerous deserialization error in Databricks LLM connector (#20368) ... fix scope of dangerous deserialization error in Databricks LLM connector --------- Signed-off-by: dbczumar <corey.zumar@databricks.com>	5 months ago
balloonio	e7b1a44c5b	community[patch]: Invoke callback prior to yielding token fix for Llamafile (#20365) ... - [x] **PR title**: community[patch]: Invoke callback prior to yielding token fix for Llamafile - [x] **PR message**: - **Description:** Invoke callback prior to yielding token in stream method in community llamafile.py - **Issue:** https://github.com/langchain-ai/langchain/issues/16913 - **Dependencies:** None - **Twitter handle:** @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
balloonio	93caa568f9	community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint (#20366) ... - [x] **PR title**: community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint - [x] **PR message**: - **Description:** Invoke callback prior to yielding token in stream method in community HuggingFaceEndpoint - **Issue:** https://github.com/langchain-ai/langchain/issues/16913 - **Dependencies:** None - **Twitter handle:** @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Nicolas	ad04585e30	community[minor]: Firecrawl.dev integration (#20364) ... Added the [FireCrawl](https://firecrawl.dev) document loader. Firecrawl crawls and convert any website into LLM-ready data. It crawls all accessible subpages and give you clean markdown for each. - **Description:** Adds FireCrawl data loader - **Dependencies:** firecrawl-py - **Twitter handle:** @mendableai ccing contributors: (@ericciarla @nickscamara) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
P. Taylor Goetz	9317df7f16	community[patch]: Add "model" attribute to the payload sent to Ollama in `ChatOllama` (#20354) ... Example Ollama API calls: Request without "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` {"error":"model is required"} ``` Request with "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "model": "openchat", "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` { "eval_duration" : 733248000, "created_at" : "2024-04-11T23:04:08.735766843Z", "model" : "openchat", "message" : { "content" : " The capital city of Pennsylvania is Harrisburg.", "role" : "assistant" }, "total_duration" : 3138731168, "prompt_eval_count" : 25, "load_duration" : 466562959, "done" : true, "prompt_eval_duration" : 1938495000, "eval_count" : 10 } ```	5 months ago
Alex Sherstinsky	fad0962643	community: for Predibase -- enable both Predibase-hosted and HuggingFace-hosted fine-tuned adapter repositories (#20370)	5 months ago
Isak Nyberg	bac9fb9a7c	community: add gpt-4 pricing in callback (#20292) ... Added the pricing for `gpt-4-turbo` and `gpt-4-turbo-2024-04-09` in the callback method. related to issue #17173 https://openai.com/pricing#language-models	5 months ago
Leonid Ganeline	7cf2d2759d	community[patch]: docstrings update (#20301) ... Added missed docstrings. Format docstings to the consistent form.	5 months ago
Eugene Yurtsev	22fd844e8a	community[patch]: Add deprecation warnings to postgres implementation (#20222) ... Add deprecation warnings to postgres implementation that are in langchain-postgres.	5 months ago
Leonid Ganeline	4cb5f4c353	community[patch]: import flattening fix (#20110) ... This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code. See #20050 as a template for this PR. - As a byproduct: Added 3 missed `test_imports`. - Added missed `SolarChat` in to __init___.py Added it into test_import ut. - Added `# type: ignore` to fix linting. It is not clear, why linting errors appear after ^ changes. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Chip Davis	806d4ae48f	community[patch]: fixed multithreading returning List[List[Documents]] instead of List[Documents] (#20230) ... Description: When multithreading is set to True and using the DirectoryLoader, there was a bug that caused the return type to be a double nested list. This resulted in other places upstream not being able to utilize the from_documents method as it was no longer a `List[Documents]` it was a `List[List[Documents]]`. The change made was to just loop through the `future.result()` and yield every item. Issue: #20093 Dependencies: N/A Twitter handle: N/A	6 months ago
seray	add31f46d0	community[patch]: OpenLLM Async Client Fixes and Timeout Parameter (#20007) ... Same changes as this merged [PR](https://github.com/langchain-ai/langchain/pull/17478) (https://github.com/langchain-ai/langchain/pull/17478), but for the async client, as the same issues persist. - Replaced 'responses' attribute of OpenLLM's GenerationOutput schema to 'outputs'. reference: 66de54eae7/openllm-core/src/openllm_core/_schemas.py (L135) - Added timeout parameter for the async client. --------- Co-authored-by: Seray Arslan <seray.arslan@knime.com>	6 months ago
Erick Friis	37a9e23c05	community: switch to falkordb python client (#20229)	6 months ago
David Lee	0394c6e126	community[minor]: add allow_dangerous_requests for OpenAPI toolkits (#19493) ... **OpenAPI allow_dangerous_requests**: community: add allow_dangerous_requests for OpenAPI toolkits **Description:** a description of the change Due to BaseRequestsTool changes, we need to pass allow_dangerous_requests manually. b617085af0/libs/community/langchain_community/tools/requests/tool.py (L26-L46) While OpenAPI toolkits didn't pass it in the arguments. b617085af0/libs/community/langchain_community/agent_toolkits/openapi/planner.py (L262-L269) **Issue:** the issue # it fixes, if applicable https://github.com/langchain-ai/langchain/issues/19440 If not passing allow_dangerous_requests, it won't be able to do requests. **Dependencies:** any dependencies required for this change Not much --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Timothy	0c848a25ad	community[patch]: GCSDirectoryLoader bugfix (#20005) ... - **Description:** Bug fix. Removed extra line in `GCSDirectoryLoader` to allow catching Exceptions. Now also logs the file path if Exception is raised for easier debugging. - **Issue:** #20198 Bug since langchain-community==0.0.31 - **Dependencies:** No change - **Twitter handle:** timothywong731 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 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>	6 months ago
Bagatur	1a34c65e01	community[patch]: pass through sql agent kwargs (#19962) ... Fix #19961	6 months ago
Guangdong Liu	97d91ec17c	community[patch]: standardize baichuan init args (#20209) ... Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	6 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>	6 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>	6 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>	6 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	6 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>	6 months ago
Bagatur	5ae0e687b3	docs: use standard openai params (#20160) ... Part of #20085	6 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>	6 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>	6 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>	6 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	6 months ago
Leonid Ganeline	3aacd11846	community[minor]: added missed class to __all__ (#19888) ... Added missed `UnstructuredCHMLoader` class to the document_loader.\_\_init\_\_.py \_\_all\_\_	6 months ago
Tomaz Bratanic	df25829f33	community[minor]: Add metadata filtering support for neo4j vector (#20001)	6 months ago
Ben Mitchell	b52b78478f	community[minor]: Implement Async OpenSearch `afrom_texts` & `afrom_embeddings` (#20009) ... - **Description:** Adds async variants of afrom_texts and afrom_embeddings into `OpenSearchVectorSearch`, which allows for `afrom_documents` to be called. - **Issue:** I implemented this because my use case involves an async scraper generating documents as and when they're ready to be ingested by Embedding/OpenSearch - **Dependencies:** None that I'm aware Co-authored-by: Ben Mitchell <b.mitchell@reply.com>	6 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	6 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>	6 months ago
Eugene Yurtsev	d293431e10	core[minor]: Add aload to document loader (#19936) ... Add aload to document loader	6 months ago
Leonid Kuligin	eb0521064e	deprecating integrations moved to langchain_google_community (#19841) ... Thank you for contributing to LangChain! - [ ] **PR title**: "community: deprecating integrations moved to langchain_google_community" - [ ] **PR message**: deprecating integrations moved to langchain_google_community --------- Co-authored-by: ccurme <chester.curme@gmail.com>	6 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>	6 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>	6 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.	6 months ago
Ethan Yang	48f84e253e	community[minor]: Add OpenVINO rerank model support (#19791) ... @eaidova @AlexKoff88 Could you help to review, thanks --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 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>	6 months ago
Bagatur	d62e84c4f5	community[patch]: Revert " Fix the bug that Chroma does not specify `e… (#19866) ... …mbedding_function` (#19277)" This reverts commit 7042934b5f. Fixes #19848	6 months ago
hsuyuming	5ab6b39098	community[patch]: add attribution_token within GoogleVertexAISearchRetriever (#18520) ... - **Description:** Add attribution_token within GoogleVertexAISearchRetriever so user can provide this information to Google support team or product team during debug session. Reference: https://cloud.google.com/generative-ai-app-builder/docs/view-analytics#user-events Attribution tokens. Attribution tokens are unique IDs generated by Vertex AI Search and returned with each search request. Make sure to include that attribution token as UserEvent.attributionToken with any user events resulting from a search. This is needed to identify if a search is served by the API. Only user events with a Google-generated attribution token are used to compute metrics. - **Issue:** No - **Dependencies:** No - **Twitter handle:** abehsu1992626 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 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