1158 Commits (c816d036998ad4a1970c9d90698516e1fbf6812b)

Author	SHA1	Message	Date
Bagatur	584a1e30ac	community[patch]: AzureSearch async functions (#22075)	4 months ago
ccurme	af129974a3	community: update how OpenAIAssistantV2Runnable creates threads with tool_resources (#22549) ... https://github.com/langchain-ai/langchain/issues/22503	4 months ago
Bagatur	51a0d4574e	community[patch]: Release 0.2.3 (#22562)	4 months ago
leila-messallem	3280a5b49b	community[patch]: improve test setup to accurately test filtering of labels in neo4j (#22531) ... **Description:** This PR addresses an issue with an existing test that was not effectively testing the intended functionality. The previous test setup did not adequately validate the filtering of the labels in neo4j, because the nodes and relationship in the test data did not have any properties set. Without properties these labels would not have been returned, regardless of the filtering. --------- Co-authored-by: Oskar Hane <oh@oskarhane.com>	4 months ago
Stefano Lottini	328d0c99f2	community[minor]: Add support for metadata indexing policy in Cassandra vector store (#22548) ... This PR adds a constructor `metadata_indexing` parameter to the Cassandra vector store to allow optional fine-tuning of which fields of the metadata are to be indexed. This is a feature supported by the underlying CassIO library. Indexing mode of "all", "none" or deny- and allow-list based choices are available. The rationale is, in some cases it's advisable to programmatically exclude some portions of the metadata from the index if one knows in advance they won't ever be used at search-time. this keeps the index more lightweight and performant and avoids limitations on the length of _indexed_ strings. I added a integration test of the feature. I also added the possibility of running the integration test with Cassandra on an arbitrary IP address (e.g. Dockerized), via `CASSANDRA_CONTACT_POINTS=10.1.1.5,10.1.1.6 poetry run pytest [...]` or similar. While I was at it, I added a line to the `.gitignore` since the mypy _test_ cache was not ignored yet. My X (Twitter) handle: @rsprrs.	4 months ago
Emilien Chauvet	c3d4126eb1	community[minor]: add user agent for web scraping loaders (#22480) ... **Description:** This PR adds a `USER_AGENT` env variable that is to be used for web scraping. It creates a util to get that user agent and uses it in the classes used for scraping in [this piece of doc](https://python.langchain.com/v0.1/docs/use_cases/web_scraping/). Identifying your scraper is considered a good politeness practice, this PR aims at easing it. **Issue:** `None` **Dependencies:** `None` **Twitter handle:** `None`	4 months ago
Philippe PRADOS	8250c177de	community[minor]: Add native async support to SQLChatMessageHistory (#22065) ... # package community: Fix SQLChatMessageHistory ## Description Here is a rewrite of `SQLChatMessageHistory` to properly implement the asynchronous approach. The code circumvents [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) by accepting a synchronous call to `def add_messages()` in an asynchronous scenario. This bypasses the bug. For the same reasons as in [PR 22](https://github.com/langchain-ai/langchain-postgres/pull/32) of `langchain-postgres`, we use a lazy strategy for table creation. Indeed, the promise of the constructor cannot be fulfilled without this. It is not possible to invoke a synchronous call in a constructor. We compensate for this by waiting for the next asynchronous method call to create the table. The goal of the `PostgresChatMessageHistory` class (in `langchain-postgres`) is, among other things, to be able to recycle database connections. The implementation of the class is problematic, as we have demonstrated in [issue 22021](https://github.com/langchain-ai/langchain/issues/22021). Our new implementation of `SQLChatMessageHistory` achieves this by using a singleton of type (`Async`)`Engine` for the database connection. The connection pool is managed by this singleton, and the code is then reentrant. We also accept the type `str` (optionally complemented by `async_mode`. I know you don't like this much, but it's the only way to allow an asynchronous connection string). In order to unify the different classes handling database connections, we have renamed `connection_string` to `connection`, and `Session` to `session_maker`. Now, a single transaction is used to add a list of messages. Thus, a crash during this write operation will not leave the database in an unstable state with a partially added message list. This makes the code resilient. We believe that the `PostgresChatMessageHistory` class is no longer necessary and can be replaced by: ``` PostgresChatMessageHistory = SQLChatMessageHistory ``` This also fixes the bug. ## Issue - [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) - Bug in _exit_history() - Bugs in PostgresChatMessageHistory and sync usage - Bugs in PostgresChatMessageHistory and async usage - [issue 36](https://github.com/langchain-ai/langchain-postgres/issues/36) ## Twitter handle: pprados ## Tests - libs/community/tests/unit_tests/chat_message_histories/test_sql.py (add async test) @baskaryan, @eyurtsev or @hwchase17 can you check this PR ? And, I've been waiting a long time for validation from other PRs. Can you take a look? - [PR 32](https://github.com/langchain-ai/langchain-postgres/pull/32) - [PR 15575](https://github.com/langchain-ai/langchain/pull/15575) - [PR 13200](https://github.com/langchain-ai/langchain/pull/13200) --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	4 months ago
Vincent Min	59bef31997	community[minor]: Improve InMemoryVectorStore with ability to persist to disk and filter on metadata. (#22186) ... - **Description:** The InMemoryVectorStore is a nice and simple vector store implementation for quick development and debugging. The current implementation is quite limited in its functionalities. This PR extends the functionalities by adding utility function to persist the vector store to a json file and to load it from a json file. We choose the json file format because it allows inspection of the database contents in a text editor, which is great for debugging. Furthermore, it adds a `filter` keyword that can be used to filter out documents on their `page_content` or `metadata`. - **Issue:** - - **Dependencies:** - - **Twitter handle:** @Vincent_Min	4 months ago
maang-h	89128b7a49	community[patch]: add detailed paragraph and example for BaichuanTextEmbeddings (#22031) ... - **Description:** add detailed paragraph and example for BaichuanTextEmbeddings - **Issue:** the issue #21983	4 months ago
Anthony Bernabeu	4e676a63b8	community[minor]: Added filter search for LanceDB (#22461) ... - [ ] **community**: "vectorstore: added filtering support for LanceDB vector store" - [ ] **This PR adds filtering capabilities to LanceDB**: - **Description:** In LanceDB filtering can be applied when searching for data into the vectorstore. It is using the SQL language as mentioned in the LanceDB documentation. - **Issue:** #18235 - **Dependencies:** No - [ ] **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/	4 months ago
Erick Friis	58192d617f	community: fix huggingface deprecations (#22522)	4 months ago
Ofer Mendelevitch	ad502e8d50	community[minor]: Vectara Integration Update - Streaming, FCS, Chat, updates to documentation and example notebooks (#21334) ... Thank you for contributing to LangChain! **Description:** update to the Vectara / Langchain integration to integrate new Vectara capabilities: - Full RAG implemented as a Runnable with as_rag() - Vectara chat supported with as_chat() - Both support streaming response - Updated documentation and example notebook to reflect all the changes - Updated Vectara templates **Twitter handle:** ofermend **Add tests and docs**: no new tests or docs, but updated both existing tests and existing docs	4 months ago
Bagatur	e60f88ccdd	community[patch]: Release 0.2.2 (#22496)	4 months ago
Joydeep Banik Roy	3796672c67	community, milvus, pinecone, qdrant, mongo: Broadcast operation failure while using simsimd beyond v3.7.7 (#22271) ... - [ ] **Packages affected**: - community: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/milvus: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/mongodb: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/pinecone: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/qdrant: fix `cosine_similarity` to support simsimd beyond 3.7.7 - [ ] **Broadcast operation failure while using simsimd beyond v3.7.7**: - **Description:** I was using simsimd 4.3.1 and the unsupported operand type issue popped up. When I checked out the repo and ran the tests, they failed as well (have attached a screenshot for that). Looks like it is a variant of https://github.com/langchain-ai/langchain/issues/18022 . Prior to 3.7.7, simd.cdist returned an ndarray but now it returns simsimd.DistancesTensor which is ineligible for a broadcast operation with numpy. With this change, it also remove the need to explicitly cast `Z` to numpy array - **Issue:** #19905 - **Dependencies:** No - **Twitter handle:** https://x.com/GetzJoydeep <img width="1622" alt="Screenshot 2024-05-29 at 2 50 00 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/fb27b383-a9ae-4a6f-b355-6d503b72db56"> - [ ] **Considerations**: 1. I started with community but since similar changes were there in Milvus, MongoDB, Pinecone, and QDrant so I modified their files as well. If touching multiple packages in one PR is not the norm, then I can remove them from this PR and raise separate ones 2. I have run and verified that the tests work. Since, only MongoDB had tests, I ran theirs and verified it works as well. Screenshots attached : <img width="1573" alt="Screenshot 2024-05-29 at 2 52 13 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/ce87d1ea-19b6-4900-9384-61fbc1a30de9"> <img width="1614" alt="Screenshot 2024-05-29 at 3 33 51 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/6ce1d679-db4c-4291-8453-01028ab2dca5"> I have added a test for simsimd. I feel it may not go well with the CI/CD setup as installing simsimd is not a dependency requirement. I have just imported simsimd to ensure simsimd cosine similarity is invoked. However, its not a good approach. Suggestions are welcome and I can make the required changes on the PR. Please provide guidance on the same as I am new to the community. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
KyrianC	03178ee74f	community[minor]: Add tools calls to `ChatEdenAI` (#22320) ... ### Description Add tools implementation to `ChatEdenAI`: - `bind_tools()` - `with_structured_output()` ### Documentation Updated `docs/docs/integrations/chat/edenai.ipynb` ### Notes We don´t support stream with tools as of yet. If stream is called with tools we directly yield the whole message from `generate` (implemented the same way as Anthropic did).	4 months ago
pranavvuppala	9d4350e69a	docs : Update docstrings for OpenAI base.py (#22221) ... - [x] **PR title**: Update docstrings for OpenAI base.py -**Description:** Updated the docstring of few OpenAI functions for a better understanding of the function. - **Issue:** #21983 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
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)) ```  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
Bagatur	3d26807b92	community[patch]: Release. 0.2.1 (#22073)	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") ```  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
Eugene Yurtsev	8d82160a8a	community[patch]: Clean up logic in import checking unit test (#22026) ... Clean up unit test	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
Eugene Yurtsev	aed64daabb	community[patch]: Add unit test to catch bad __all__ definitions (#21996) ... This will catch all dynamic __all__ definitions.	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:  --------- 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
Erick Friis	169f525cfb	community: release 0.2.0 (#21834)	4 months ago