langchain

Commit Graph

Author	SHA1	Message	Date
Virat Singh	264ab96980	community: Add stock market tools from financialdatasets.ai (#25025 ) Description: In this PR, I am adding three stock market tools from financialdatasets.ai (my API!): - get balance sheets - get cash flow statements - get income statements Twitter handle: [@virattt](https://twitter.com/virattt) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Naval Chand	71c0698ee4	Added bedrock 3-5 sonnet cost detials for BedrockAnthropicTokenUsageCallbackHandler (#25104 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Example: "community: Added bedrock 3-5 sonnet cost detials for BedrockAnthropicTokenUsageCallbackHandler" - [ ] 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: Naval Chand <navalchand@192.168.1.36>	2 months ago
Isaac Francisco	a72fddbf8d	[docs]: vector store integration pages (#24858 ) Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
maang-h	1028af17e7	docs: Standardize Tongyi (#25103 ) - Description: Standardize Tongyi LLM，include: - docs, the issue #24803 - model init arg names, the issue #20085	2 months ago
Dobiichi-Origami	061ed250f6	delete the default model value from langchain and discard the need fo… (#24915 ) - description: I remove the limitation of mandatory existence of `QIANFAN_AK` and default model name which langchain uses cause there is already a default model nama underlying `qianfan` SDK powering langchain component. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Dominik Fladung	ffa0c838d8	Allow ConfluenceLoader authorization via Personal Access Tokens (#25096 ) - community: Allow authorization to Confluence with bearer token - Description: Allow authorization to Confluence with [Personal Access Token](https://confluence.atlassian.com/enterprise/using-personal-access-tokens-1026032365.html) by checking for the keys `['client_id', token: ['access_token', 'token_type']]` - Issue: Currently the following error occurs when using an personal access token for authorization. ```python loader = ConfluenceLoader( url=os.getenv('CONFLUENCE_URL'), oauth2={ 'token': {"access_token": os.getenv("CONFLUENCE_ACCESS_TOKEN"), "token_type": "bearer"}, 'client_id': 'client_id', }, page_ids=['12345678'], ) ``` ``` ValueError: Error(s) while validating input: ["You have either omitted require keys or added extra keys to the oauth2 dictionary. key values should be `['access_token', 'access_token_secret', 'consumer_key', 'key_cert']`"] ``` With this PR the loader runs as expected. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
jigsawlabs-student	427a04151c	community: fix neo4j from_existing_graph (#24912 ) Fixes Neo4JVector.from_existing_graph integration with huggingface Previously threw an error with existing databases, because from_existing_graph query returns empty list of new nodes, which are then passed to embedding function, and huggingface errors with empty list. Fixes [24401](https://github.com/langchain-ai/langchain/issues/24401) --------- Co-authored-by: Jeff Katzy <jeffreyerickatz@gmail.com>	2 months ago
Jim Baldwin	6890daa90c	community: make AthenaLoader profile_name optional and fix type hint (#24958 ) - Description: This PR makes the AthenaLoader profile_name optional and fixes the type hint which says the type is `str` but it should be `str` or `None` as None is handled in the loader init. This is a minor problem but it just confused me when I was using the Athena Loader to why we had to use a Profile, as I want that for local but not production. - Issue: #24957 - Dependencies: None.	2 months ago
Dobiichi-Origami	c5cb52a3c6	community: fix issue of the existence of numeric object in `additional_kwargs` a… (#24863 ) - Description: A previous PR breaks the code from `baidu_qianfan_endpoint.py` which causes the malfunction of streaming	2 months ago
ZhangShenao	cda79dbb6c	community[patch]: Optimize test case for `MoonshotChat` (#25050 ) Optimize test case for `MoonshotChat`. Use standard ChatModelIntegrationTests.	2 months ago
Alex Sherstinsky	208042e0f2	community: Fix Predibase Integration for HuggingFace-hosted fine-tuned adapters (#25015 ) 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" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] 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.	2 months ago
maang-h	f5da0d6d87	docs: Standardize MiniMaxEmbeddings (#24983 ) - Description: Standardize MiniMaxEmbeddings - docs, the issue #24856 - model init arg names, the issue #20085	2 months ago
maang-h	7de62abc91	docs: Standardize SparkLLMTextEmbeddings docstrings (#25021 ) - Description: Standardize SparkLLMTextEmbeddings docstrings - Issue: the issue #24856	2 months ago
Bagatur	e81ddb32a6	docs: fix kwargs docstring (#25010 ) Fix: ![Screenshot 2024-08-02 at 5 33 37 PM](https://github.com/user-attachments/assets/7c56cdeb-ee81-454c-b3eb-86aa8a9bdc8d)	2 months ago
Isaac Francisco	73570873ab	docs: standardizing tavily tool docs (#24736 ) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Bagatur	8e2316b8c2	community[patch]: Release 0.2.11 (#24989 )	2 months ago
ccurme	22c1a4041b	community[patch]: support named arguments in github toolkit (#24986 ) Parameters may be passed in by name if generated from tool calls.	2 months ago
ZhangShenao	71c0564c9f	community[patch]: Add test case for MoonshotChat (#24960 ) Add test case for `MoonshotChat`.	2 months ago
Isaac Francisco	d7688a4328	community[patch]: adding artifact to Tavily search (#24376 ) This allows you to get raw content as well as the answer, instead of just getting the results. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
maang-h	ea505985c4	docs: Standardize ZhipuAIEmbeddings docstrings (#24933 ) - Description: Standardize ZhipuAIEmbeddings rich docstrings. - Issue: the issue #24856	2 months ago
Anneli Samuel	2204d8cb7d	community[patch]: Invoke on_llm_new_token callback before yielding chunk (#24938 ) Description: Invoke on_llm_new_token callback before yielding chunk in streaming mode Issue: [#16913](https://github.com/langchain-ai/langchain/issues/16913)	2 months ago
Serena Ruan	1827bb4042	community[patch]: support bind_tools for ChatMlflow (#24547 ) 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: Support ChatMlflow.bind_tools method Tested in Databricks: <img width="836" alt="image" src="https://github.com/user-attachments/assets/fa28ef50-0110-4698-8eda-4faf6f0b9ef8"> - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Signed-off-by: Serena Ruan <serena.rxy@gmail.com>	2 months ago
BottlePumpkin	bfc59c1d26	community: Fix KeyError in NotionDB loader when 'name' is missing (#24224 ) Thank you for contributing to LangChain! - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Description: This PR fixes a KeyError in NotionDBLoader when the "name" key is missing in the "people" property. Issue: Fixes #24223 Dependencies: None --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
alexqiao	8eb0bdead3	community[patch]: Invoke callback prior to yielding token (#24917 ) Description: Invoke callback prior to yielding token in stream method for chat_models . Issue: https://github.com/langchain-ai/langchain/issues/16913 #16913	2 months ago
Nikita Pakunov	c776471ac6	community: fix AttributeError: 'YandexGPT' object has no attribute '_grpc_metadata' (#24432 ) Fixes #24049 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Eugene Yurtsev	add16111b9	community[patch]: Make the pydantic linter stricter (#24897 ) Stricter linting of deprecated pydantic features.	2 months ago
Eugene Yurtsev	a4a444f73d	community[patch]: Fix arcee llm usage of root_validator(pre=False) (#24896 ) Should be pre=True	2 months ago
Eugene Yurtsev	d24b82357f	community[patch]: Add missing annotations (#24890 ) This PR adds annotations in comunity package. Annotations are only strictly needed in subclasses of BaseModel for pydantic 2 compatibility. This PR adds some unnecessary annotations, but they're not bad to have regardless for documentation pages.	2 months ago
ccurme	30f18c7b02	docs: add retriever integrations template (#24836 )	2 months ago
Anirudh31415926535	4da3d4b18e	docs: Minor corrections and updates to Cohere docs (#22726 ) - Description: Update the Cohere's provider and RagRetriever documentations with latest updates. - Twitter handle: Anirudh1810	2 months ago
Nishan Jain	b00c0fc558	[Community][minor]: Added prompt governance in pebblo_retrieval (#24874 ) Title: [pebblo_retrieval] Identifying entities in prompts given in PebbloRetrievalQA leading to prompt governance Description: Implemented identification of entities in the prompt using Pebblo prompt governance API. Issue: NA Dependencies: NA Add tests and docs: NA	2 months ago
Rajendra Kadam	a6add89bd4	community[minor]: [PebbloSafeLoader] Implement content-size-based batching (#24871 ) - Title: [PebbloSafeLoader] Implement content-size-based batching in the classification flow(loader/doc API) - Description: - Implemented content-size-based batching in the loader/doc API, set to 100KB with no external configuration option, intentionally hard-coded to prevent timeouts. - Remove unused field(pb_id) from doc_metadata - Issue: NA - Dependencies: NA - Add tests and docs: Updated	2 months ago
TrumanYan	096b66db4a	community: replace it with Tencent Cloud SDK (#24172 ) Description: The old method will be discontinued; use the official SDK for more model options. Issue: None Dependencies: None Twitter handle: None Co-authored-by: trumanyan <trumanyan@tencent.com>	2 months ago
Erick Friis	1f5444817a	community: deprecate BedrockEmbeddings in favor of langchain-aws (#24846 )	2 months ago
Shailendra Mishra	f2d810b3c0	clob_bugfix... (#24813 ) 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.	2 months ago
Anush	51b15448cc	community: Fix FastEmbedEmbeddings (#24462 ) ## Description This PR: - Fixes the validation error in `FastEmbedEmbeddings`. - Adds support for `batch_size`, `parallel` params. - Removes support for very old FastEmbed versions. - Updates the FastEmbed doc with the new params. Associated Issues: - Resolves #24039 - Resolves #https://github.com/qdrant/fastembed/issues/296	2 months ago
ccurme	73ec24fc56	docs[patch]: add toolkit template (#24791 )	2 months ago
Igor Drozdov	c2706cfb9e	feat(community): add tools support for litellm (#23906 ) I used the following example to validate the behavior ```python from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import ConfigurableField from langchain_anthropic import ChatAnthropic from langchain_community.chat_models import ChatLiteLLM from langchain_core.tools import tool from langchain.agents import create_tool_calling_agent, AgentExecutor @tool def multiply(x: float, y: float) -> float: """Multiply 'x' times 'y'.""" return x * y @tool def exponentiate(x: float, y: float) -> float: """Raise 'x' to the 'y'.""" return x**y @tool def add(x: float, y: float) -> float: """Add 'x' and 'y'.""" return x + y prompt = ChatPromptTemplate.from_messages([ ("system", "you're a helpful assistant"), ("human", "{input}"), ("placeholder", "{agent_scratchpad}"), ]) tools = [multiply, exponentiate, add] llm = ChatAnthropic(model="claude-3-sonnet-20240229", temperature=0) # llm = ChatLiteLLM(model="claude-3-sonnet-20240229", temperature=0) agent = create_tool_calling_agent(llm, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what's 3 plus 5 raised to the 2.743. also what's 17.24 - 918.1241", }) ``` `ChatAnthropic` version works: ``` > Entering new AgentExecutor chain... Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}` responded: [{'text': 'To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools:', 'type': 'text', 'index': 0}, {'id': 'toolu_01Gf54DFTkfLMJQX3TXffmxe', 'input': {}, 'name': 'exponentiate', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 5, "y": 2.743}'}] 82.65606421491815 Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}` responded: [{'id': 'toolu_01XUq9S56GT3Yv2N1KmNmmWp', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 0, 'partial_json': '{"x": 3, "y": 82.65606421491815}'}] 85.65606421491815 Invoking: `add` with `{'x': 17.24, 'y': -918.1241}` responded: [{'text': '\n\nSo 3 + 5^2.743 = 85.66\n\nTo calculate 17.24 - 918.1241, we can use:', 'type': 'text', 'index': 0}, {'id': 'toolu_01BkXTwP7ec9JKYtZPy5JKjm', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 17.24, "y": -918.1241}'}] -900.8841[{'text': '\n\nTherefore, 17.24 - 918.1241 = -900.88', 'type': 'text', 'index': 0}] > Finished chain. ``` While `ChatLiteLLM` version doesn't. But with the changes in this PR, along with: - https://github.com/langchain-ai/langchain/pull/23823 - https://github.com/BerriAI/litellm/pull/4554 The result is _almost_ the same: ``` > Entering new AgentExecutor chain... Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}` responded: To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools: 82.65606421491815 Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}` 85.65606421491815 Invoking: `add` with `{'x': 17.24, 'y': -918.1241}` responded: So 3 + 5^2.743 = 85.66 To calculate 17.24 - 918.1241, we can use: -900.8841 Therefore, 17.24 - 918.1241 = -900.88 > Finished chain. ``` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
David Robertson	bfb7f8d40a	Brave Search: Enhance search result details with extra snippets (#19209 ) Description: This update significantly improves the Brave Search Tool's utility within the LangChain library by enriching the search results it returns. The tool previously returned title, link, and snippet, with the snippet being a truncated 140-character description from the search engine. To make the search results more informative, this update enables extra_snippets by default and introduces additional result fields: title, link, description (enhancing and renaming the former snippet field), age, and snippets. The snippets field provides a list of strings summarizing the webpage, utilizing Brave's capability for more detailed search insights. This enhancement aims to make the search tool far more informative and beneficial for users. Issue: N/A Dependencies: No additional dependencies introduced. Twitter handle: @davidalexr987 Code Changes Summary: - Changed the default setting to include extra_snippets in search results. - Renamed the snippet field to description to accurately reflect its content and included an age field for search results. - Introduced a snippets field that lists webpage summaries, providing users with comprehensive search result insights. Backward Compatibility Note: The renaming of snippet to description improves the accuracy of the returned data field but may impact existing users who have developed integration's or analyses based on the snippet field. I believe this change is essential for clarity and utility, and it aligns better with the data provided by Brave Search. Additional Notes: This proposal focuses exclusively on the Brave Search package, without affecting other LangChain packages or introducing new dependencies.	2 months ago
Ben Chambers	435771fe74	[community]: Fix package name mismatch (#24824 ) - Description: fix a mismatch in pypi package names	2 months ago
maang-h	4bb1a11e02	community: Add MiniMaxChat bind_tools and structured output (#24310 ) - Description: - Add `bind_tools` method to support tool calling - Add `with_structured_output` method to support structured output	2 months ago
maang-h	bf685c242f	docs: Standardize QianfanEmbeddingsEndpoint (#24786 ) - Description: Standardize QianfanEmbeddingsEndpoint, include: - docstrings, the issue #21983 - model init arg names, the issue #20085	2 months ago
M. Ali	c086410677	fix docs typos (#23668 ) Thank you for contributing to LangChain! - [x] PR title: "docs: fix multiple typos" Co-authored-by: mohblnk <mohamed.ali@blnk.ai> Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
Pere Pasamonte	98175860ad	community: Fix AWS DocumentDB similarity_search when filter is None (#24777 ) Description Fixes DocumentDBVectorSearch similarity_search when no filter is used; it defaults to None but $match does not accept None, so changed default to empty {} before pipeline is created. Issue AWS DocumentDB similarity search does not work when no filter is used. Error msg: "the match filter must be an expression in an object" #24775 Dependencies No dependencies Twitter handle https://x.com/perepasamonte --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
AmosDinh	c113682328	community:Add support for specifying document_loaders.firecrawl api url. (#24747 ) community:Add support for specifying document_loaders.firecrawl api url. Add support for specifying document_loaders.firecrawl api url. This is mainly to support the [self-hosting](https://github.com/mendableai/firecrawl/blob/main/SELF_HOST.md) option firecrawl provides. Eg. now I can specify localhost:.... The corresponding firecrawl class already provides functionality to pass the argument. See here: `4c9d62f6d3/apps/python-sdk/firecrawl/firecrawl.py (L29)` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Haijian Wang	cda3025ee1	Integrating the Yi family of models. (#24491 ) Thank you for contributing to LangChain! - [x] PR title: "community:add Yi LLM", "docs:add Yi Documentation" - [x] PR message: *Delete this entire checklist* and replace with - Description: This PR adds support for the Yi model to LangChain. - Dependencies: [langchain_core,requests,contextlib,typing,logging,json,langchain_community] - Twitter handle: 01.AI - [x] Add tests and docs: I've added the corresponding documentation to the relevant paths --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Marc Gibbons	cc451effd1	community[patch]: langchain_community.vectorstores.azuresearch Raise LangChainException instead of bare Exception (#23935 ) Raise `LangChainException` instead of `Exception`. This alleviates the need for library users to use bare try/except to handle exceptions raised by `AzureSearch`. Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Diverrez morgan	c4d2a53f18	community: creation score_threshold in flashrank_rerank.py (#24016 ) Description: add a optional score relevance threshold for select only coherent document, it's in complement of top_n Discussion: add relevance score threshold in flashrank_rerank document compressors #24013 Dependencies: no dependencies --------- Co-authored-by: Benjamin BERNARD <benjamin.bernard@openpathview.fr> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Cong Peng	190988d93e	community: Add parameter `allow_dangerous_requests` to `WebResearchRetriever.from_llm` construct (#24712 ) Description: To avoid ValueError when construct the retriever from method `from_llm()`.	2 months ago
monysun	5f593c172a	community: fix dashcope embeddings embed_query func post too much req to api (#24707 ) the fuc of embed_query of dashcope embeddings send a str param, and in the embed_with_retry func will send error content to api	2 months ago

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1411 Commits (35ebd2620c56d8a109321d7eb3f7676e20175d69)