401 Commits (a8f530bc4d2692d0e1c3713643522751f85df51c)

Author	SHA1	Message	Date
Nat Noordanus	8a3b74fe1f	community[patch]: Fix pydantic ForwardRef error in BedrockBase (#17416) ... - **Description:** Fixes a type annotation issue in the definition of BedrockBase. This issue was that the annotation for the `config` attribute includes a ForwardRef to `botocore.client.Config` which is only imported when `TYPE_CHECKING`. This can cause pydantic to raise an error like `pydantic.errors.ConfigError: field "config" not yet prepared so type is still a ForwardRef, ...`. - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** `@__nat_n__`	5 months ago
Ashley Xu	f746a73e26	Add the BQ job usage tracking from LangChain (#17123) ... - **Description:** Add the BQ job usage tracking from LangChain --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Bagatur	39342d98d6	community[patch]: Release 0.0.20 (#17480)	5 months ago
Max Jakob	ab3d944667	community[patch]: ElasticsearchStore: preserve user headers (#16830) ... Users can provide an Elasticsearch connection with custom headers. This PR makes sure these headers are preserved when adding the langchain user agent header.	5 months ago
wulixuan	5d06797905	community[minor]: integrate chat models with Yuan2.0 (#16575) ... 1. integrate chat models with [`Yuan2.0`](https://github.com/IEIT-Yuan/Yuan-2.0/blob/main/README-EN.md) 2. add a new doc for [Yuan2.0 integration](docs/docs/integrations/llms/yuan2.ipynb) Yuan2.0 is a new generation Fundamental Large Language Model developed by IEIT System. We have published all three models, Yuan 2.0-102B, Yuan 2.0-51B, and Yuan 2.0-2B. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Ian Gregory	e5472b5eb8	Framework for supporting more languages in LanguageParser (#13318) ... ## Description I am submitting this for a school project as part of a team of 5. Other team members are @LeilaChr, @maazh10, @Megabear137, @jelalalamy. This PR also has contributions from community members @Harrolee and @Mario928. Initial context is in the issue we opened (#11229). This pull request adds: - Generic framework for expanding the languages that `LanguageParser` can handle, using the [tree-sitter](https://github.com/tree-sitter/py-tree-sitter#py-tree-sitter) parsing library and existing language-specific parsers written for it - Support for the following additional languages in `LanguageParser`: - C - C++ - C# - Go - Java (contributed by @Mario928 https://github.com/ThatsJustCheesy/langchain/pull/2) - Kotlin - Lua - Perl - Ruby - Rust - Scala - TypeScript (contributed by @Harrolee https://github.com/ThatsJustCheesy/langchain/pull/1) Here is the [design document](https://docs.google.com/document/d/17dB14cKCWAaiTeSeBtxHpoVPGKrsPye8W0o_WClz2kk) if curious, but no need to read it. ## Issues - Closes #11229 - Closes #10996 - Closes #8405 ## Dependencies `tree_sitter` and `tree_sitter_languages` on PyPI. We have tried to add these as optional dependencies. ## Documentation We have updated the list of supported languages, and also added a section to `source_code.ipynb` detailing how to add support for additional languages using our framework. ## Maintainer - @hwchase17 (previously reviewed https://github.com/langchain-ai/langchain/pull/6486) Thanks!! ## Git commits We will gladly squash any/all of our commits (esp merge commits) if necessary. Let us know if this is desirable, or if you will be squash-merging anyway. <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Maaz Hashmi <mhashmi373@gmail.com> Co-authored-by: LeilaChr <87657694+LeilaChr@users.noreply.github.com> Co-authored-by: Jeremy La <jeremylai511@gmail.com> Co-authored-by: Megabear137 <zubair.alnoor27@gmail.com> Co-authored-by: Lee Harrold <lhharrold@sep.com> Co-authored-by: Mario928 <88029051+Mario928@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	5 months ago
Abhishek Jain	37e1275f9e	community[patch]: Fixed the 'aembed' method of 'CohereEmbeddings'. (#16497) ... **Description:** - The existing code was trying to find a `.embeddings` property on the `Coroutine` returned by calling `cohere.async_client.embed`. - Instead, the `.embeddings` property is present on the value returned by the `Coroutine`. - Also, it seems that the original cohere client expects a value of `max_retries` to not be `None`. Hence, setting the default value of `max_retries` to `3`. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Sridhar Ramaswamy	9f1cbbc6ed	community[minor]: Add pebblo safe document loader (#16862) ... - **Description:** Pebblo opensource project enables developers to safely load data to their Gen AI apps. It identifies semantic topics and entities found in the loaded data and summarizes them in a developer-friendly report. - **Dependencies:** none - **Twitter handle:** srics @hwchase17	5 months ago
mhavey	1bbb64d956	community[minor], langchian[minor]: Add Neptune Rdf graph and chain (#16650) ... **Description**: This PR adds a chain for Amazon Neptune graph database RDF format. It complements the existing Neptune Cypher chain. The PR also includes a Neptune RDF graph class to connect to, introspect, and query a Neptune RDF graph database from the chain. A sample notebook is provided under docs that demonstrates the overall effect: invoking the chain to make natural language queries against Neptune using an LLM. **Issue**: This is a new feature **Dependencies**: The RDF graph class depends on the AWS boto3 library if using IAM authentication to connect to the Neptune database. --------- Co-authored-by: Piyush Jain <piyushjain@duck.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Michael Feil	e1cfd0f3e7	community[patch]: infinity embeddings update incorrect default url (#16759) ... The default url has always been incorrect (7797 instead 7997). Here is a update to the correct url.	5 months ago
Andreas Motl	1fdd9bd980	community/SQLDatabase: Generalize and trim software tests (#16659) ... - **Description:** Improve test cases for `SQLDatabase` adapter component, see [suggestion](https://github.com/langchain-ai/langchain/pull/16655#pullrequestreview-1846749474). - **Depends on:** GH-16655 - **Addressed to:** @baskaryan, @cbornet, @eyurtsev _Remark: This PR is stacked upon GH-16655, so that one will need to go in first._ Edit: Thank you for bringing in GH-17191, @eyurtsev. This is a little aftermath, improving/streamlining the corresponding test cases.	5 months ago
Theo / Taeyoon Kang	1987f905ed	core[patch]: Support .yml extension for YAML (#16783) ... - **Description:** [AS-IS] When dealing with a yaml file, the extension must be .yaml. [TO-BE] In the absence of extension length constraints in the OS, the extension of the YAML file is yaml, but control over the yml extension must still be made. It's as if it's an error because it's a .jpg extension in jpeg support. - **Issue:** - - **Dependencies:** no dependencies required for this change,	5 months ago
Kapil Sachdeva	cd00a87db7	community[patch] - in FAISS vector store, support passing custom DocStore implementation when using from_xxx methods (#16801) ... - **Description:** The from__xx methods of FAISS class have hardcoded InMemoryStore implementation and thereby not let users pass a custom DocStore implementation, - **Issue:** no referenced issue, - **Dependencies:** none, - **Twitter handle:** ksachdeva	5 months ago
Chris	f9f5626ca4	community[patch]: Fix github search issues and PRs PaginatedList has no len() error (#16806) ... **Description:** Bugfix: Langchain_community's GitHub Api wrapper throws a TypeError when searching for issues and/or PRs (the `search_issues_and_prs` method). This is because PyGithub's PageinatedList type does not support the len() method. See https://github.com/PyGithub/PyGithub/issues/1476  **Dependencies:** None **Twitter handle**: @ChrisKeoghNZ I haven't registered an issue as it would take me longer to fill the template out than to make the fix, but I'm happy to if that's deemed essential. I've added a simple integration test to cover this as there were no existing unit tests and it was going to be tricky to set them up. Co-authored-by: Chris Keogh <chris.keogh@xero.com>	5 months ago
morgana	722aae4fd1	community: add delete method to rocksetdb vectorstore to support recordmanager (#17030) ... - **Description:** This adds a delete method so that rocksetdb can be used with `RecordManager`. - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** `@_morgan_adams_` --------- Co-authored-by: Rockset API Bot <admin@rockset.io>	5 months ago
yin1991	c454dc36fc	community[proxy]: Enhancement/add proxy support playwrighturlloader 16751 (#16822) ... - **Description:** Enhancement/add proxy support playwrighturlloader 16751 - **Issue:** [Enhancement: Add Proxy Support to PlaywrightURLLoader Class](https://github.com/langchain-ai/langchain/issues/16751) - **Dependencies:** - **Twitter handle:** @ootR77013489 --------- Co-authored-by: root <root@ip-172-31-46-160.ap-southeast-1.compute.internal> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Lingzhen Chen	30af711c34	community[patch]: update AzureSearch class to work with azure-search-documents=11.4.0 (#15659) ... - **Description:** Updates `libs/community/langchain_community/vectorstores/azuresearch.py` to support the stable version `azure-search-documents=11.4.0` - **Issue:** https://github.com/langchain-ai/langchain/issues/14534, https://github.com/langchain-ai/langchain/issues/15039, https://github.com/langchain-ai/langchain/issues/15355 - **Dependencies:** azure-search-documents>=11.4.0 --------- Co-authored-by: Clément Tamines <Skar0@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Robby	e135dc70c3	community[patch]: Invoke callback prior to yielding token (#17348) ... **Description:** Invoke callback prior to yielding token in stream method for Ollama. **Issue:** [Callback for on_llm_new_token should be invoked before the token is yielded by the model #16913](https://github.com/langchain-ai/langchain/issues/16913) Co-authored-by: Robby <h0rv@users.noreply.github.com>	5 months ago
Christophe Bornet	ab025507bc	community[patch]: Add async methods to VectorStoreQATool (#16949)	5 months ago
Christophe Bornet	fb7552bfcf	Add async methods to InMemoryCache (#17425) ... Add async methods to InMemoryCache	5 months ago
yin1991	37ef6ac113	community[patch]: Add Pagination to GitHubIssuesLoader for Efficient GitHub Issues Retrieval (#16934) ... - **Description:** Add Pagination to GitHubIssuesLoader for Efficient GitHub Issues Retrieval - **Issue:** [the issue # it fixes if applicable,](https://github.com/langchain-ai/langchain/issues/16864) --------- Co-authored-by: root <root@ip-172-31-46-160.ap-southeast-1.compute.internal> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Robby	ece4b43a81	community[patch]: doc loaders mypy fixes (#17368) ... **Description:** Fixed `type: ignore`'s for mypy for some document_loaders. **Issue:** [Remove "type: ignore" comments #17048 ](https://github.com/langchain-ai/langchain/issues/17048) --------- Co-authored-by: Robby <h0rv@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Robby	0653aa469a	community[patch]: Invoke callback prior to yielding token (#17346) ... **Description:** Invoke callback prior to yielding token in stream method for watsonx. **Issue:** [Callback for on_llm_new_token should be invoked before the token is yielded by the model #16913](https://github.com/langchain-ai/langchain/issues/16913) Co-authored-by: Robby <h0rv@users.noreply.github.com>	5 months ago
Bagatur	f7e453971d	community[patch]: remove print (#17435)	5 months ago
Spencer Kelly	54fa78c887	community[patch]: fixed vector similarity filtering (#16967) ... **Description:** changed filtering so that failed filter doesn't add document to results. Currently filtering is entirely broken and all documents are returned whether or not they pass the filter. fixes issue introduced in https://github.com/langchain-ai/langchain/pull/16190	5 months ago
Abhijeeth Padarthi	584b647b96	community[minor]: AWS Athena Document Loader (#15625) ... - **Description:** Adds the document loader for [AWS Athena](https://aws.amazon.com/athena/), a serverless and interactive analytics service. - **Dependencies:** Added boto3 as a dependency	5 months ago
david-tempelmann	93da18b667	community[minor]: Add mmr and similarity_score_threshold retrieval to DatabricksVectorSearch (#16829) ... - **Description:** This PR adds support for `search_types="mmr"` and `search_type="similarity_score_threshold"` to retrievers using `DatabricksVectorSearch`, - **Issue:** - **Dependencies:** - **Twitter handle:** --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Massimiliano Pronesti	3894b4d9a5	community: add gpt-4-turbo and gpt-4-0125 costs (#17349) ... Ref: https://openai.com/pricing <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	5 months ago
Erick Friis	3a2eb6e12b	infra: add print rule to ruff (#16221) ... Added noqa for existing prints. Can slowly remove / will prevent more being intro'd	5 months ago
Jael Gu	c07c0da01a	community[patch]: Fix Milvus add texts when ids=None (#17021) ... - **Description:** Fix Milvus add texts when ids=None (auto_id=True) Signed-off-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Quang Hoa	54c1fb3f25	community[patch]: Make some functions work with Milvus (#10695) ... **Description** Make some functions work with Milvus: 1. get_ids: Get primary keys by field in the metadata 2. delete: Delete one or more entities by ids 3. upsert: Update/Insert one or more entities **Issue** None **Dependencies** None **Tag maintainer:** @hwchase17 **Twitter handle:** None --------- Co-authored-by: HoaNQ9 <hoanq.1811@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
kYLe	c9999557bf	community[patch]: Modify LLMs/Anyscale work with OpenAI API v1 (#14206) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description:** 1. Modify LLMs/Anyscale to work with OAI v1 2. Get rid of openai_ prefixed variables in Chat_model/ChatAnyscale 3. Modify `anyscale_api_base` to `anyscale_base_url` to follow OAI name convention (reverted) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Charlie Marsh	24c0bab57b	infra, multiple: Upgrade configuration for Ruff v0.2.0 (#16905) ... ## Summary This PR upgrades LangChain's Ruff configuration in preparation for Ruff's v0.2.0 release. (The changes are compatible with Ruff v0.1.5, which LangChain uses today.) Specifically, we're now warning when linter-only options are specified under `[tool.ruff]` instead of `[tool.ruff.lint]`. --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Leonid Ganeline	932c52c333	community[patch]: docstrings (#16810) ... - added missed docstrings - formated docstrings to the consistent form	5 months ago
Kononov Pavel	15bc201967	langchain_community: Fix typo bug (#17324) ... Problem from #17095 This error wasn't in the v1.4.0	5 months ago
Bagatur	65e97c9b53	infra: mv SQLDatabase tests to community (#17276)	5 months ago
Bagatur	02ef9164b5	langchain[patch]: expose cohere rerank score, add parent doc param (#16887)	5 months ago
Bagatur	35c1bf339d	infra: rm boto3, gcaip from pyproject (#17270)	5 months ago
Alex	de5e96b5f9	community[patch]: updated openai prices in mapping (#17009) ... - **Description:** there are january prices update for chatgpt [blog](https://openai.com/blog/new-embedding-models-and-api-updates), also there are updates on their website on page [pricing](https://openai.com/pricing) - **Issue:** N/A --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Armin Stepanyan	641efcf41c	community: add runtime kwargs to HuggingFacePipeline (#17005) ... This PR enables changing the behaviour of huggingface pipeline between different calls. For example, before this PR there's no way of changing maximum generation length between different invocations of the chain. This is desirable in cases, such as when we want to scale the maximum output size depending on a dynamic prompt size. Usage example: ```python from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline model_id = "gpt2" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id) pipe = pipeline("text-generation", model=model, tokenizer=tokenizer) hf = HuggingFacePipeline(pipeline=pipe) hf("Say foo:", pipeline_kwargs={"max_new_tokens": 42}) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Scott Nath	a32798abd7	community: Add you.com utility, update you retriever integration docs (#17014) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description: changes to you.com files** - general cleanup - adds community/utilities/you.py, moving bulk of code from retriever -> utility - removes `snippet` as endpoint - adds `news` as endpoint - adds more tests <s>**Description: update community MAKE file** - adds `integration_tests` - adds `coverage`</s> - **Issue:** the issue # it fixes if applicable, - [For New Contributors: Update Integration Documentation](https://github.com/langchain-ai/langchain/issues/15664#issuecomment-1920099868) - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Liang Zhang	7306600e2f	community[patch]: Support SerDe transform functions in Databricks LLM (#16752) ... **Description:** Databricks LLM does not support SerDe the transform_input_fn and transform_output_fn. After saving and loading, the LLM will be broken. This PR serialize these functions into a hex string using pickle, and saving the hex string in the yaml file. Using pickle to serialize a function can be flaky, but this is a simple workaround that unblocks many use cases. If more sophisticated SerDe is needed, we can improve it later. Test: Added a simple unit test. I did manual test on Databricks and it works well. The saved yaml looks like: ``` llm: _type: databricks cluster_driver_port: null cluster_id: null databricks_uri: databricks endpoint_name: databricks-mixtral-8x7b-instruct extra_params: {} host: e2-dogfood.staging.cloud.databricks.com max_tokens: null model_kwargs: null n: 1 stop: null task: null temperature: 0.0 transform_input_fn: 80049520000000000000008c085f5f6d61696e5f5f948c0f7472616e73666f726d5f696e7075749493942e transform_output_fn: null ``` @baskaryan ```python from langchain_community.embeddings import DatabricksEmbeddings from langchain_community.llms import Databricks from langchain.chains import RetrievalQA from langchain.document_loaders import TextLoader from langchain.text_splitter import CharacterTextSplitter from langchain.vectorstores import FAISS import mlflow embeddings = DatabricksEmbeddings(endpoint="databricks-bge-large-en") def transform_input(**request): request["messages"] = [ { "role": "user", "content": request["prompt"] } ] del request["prompt"] return request llm = Databricks(endpoint_name="databricks-mixtral-8x7b-instruct", transform_input_fn=transform_input) persist_dir = "faiss_databricks_embedding" # Create the vector db, persist the db to a local fs folder loader = TextLoader("state_of_the_union.txt") documents = loader.load() text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) docs = text_splitter.split_documents(documents) db = FAISS.from_documents(docs, embeddings) db.save_local(persist_dir) def load_retriever(persist_directory): embeddings = DatabricksEmbeddings(endpoint="databricks-bge-large-en") vectorstore = FAISS.load_local(persist_directory, embeddings) return vectorstore.as_retriever() retriever = load_retriever(persist_dir) retrievalQA = RetrievalQA.from_llm(llm=llm, retriever=retriever) with mlflow.start_run() as run: logged_model = mlflow.langchain.log_model( retrievalQA, artifact_path="retrieval_qa", loader_fn=load_retriever, persist_dir=persist_dir, ) # Load the retrievalQA chain loaded_model = mlflow.pyfunc.load_model(logged_model.model_uri) print(loaded_model.predict([{"query": "What did the president say about Ketanji Brown Jackson"}])) ```	5 months ago
cjpark-data	ce22e10c4b	community[patch]: Fix KeyError 'embedding' (MongoDBAtlasVectorSearch) (#17178) ... - **Description:** Embedding field name was hard-coded named "embedding". So I suggest that change `res["embedding"]` into `res[self._embedding_key]`. - **Issue:** #17177, - **Twitter handle:** [@bagcheoljun17](https://twitter.com/bagcheoljun17)	5 months ago
Neli Hateva	9bb5157a3d	langchain[patch], community[patch]: Fixes in the Ontotext GraphDB Graph and QA Chain (#17239) ... - **Description:** Fixes in the Ontotext GraphDB Graph and QA Chain related to the error handling in case of invalid SPARQL queries, for which `prepareQuery` doesn't throw an exception, but the server returns 400 and the query is indeed invalid - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** @OntotextGraphDB	5 months ago
ByeongUk Choi	b88329e9a5	community[patch]: Implement Unique ID Enforcement in FAISS (#17244) ... **Description:** Implemented unique ID validation in the FAISS component to ensure all document IDs are distinct. This update resolves issues related to non-unique IDs, such as inconsistent behavior during deletion processes.	5 months ago
Bassem Yacoube	4e3ed7f043	community[patch]: octoai embeddings bug fix (#17216) ... fixes a bug in octoa_embeddings provider	5 months ago
Eugene Yurtsev	780e84ae79	community[minor]: SQLDatabase Add fetch mode `cursor`, query parameters, query by selectable, expose execution options, and documentation (#17191) ... - **Description:** Improve `SQLDatabase` adapter component to promote code re-use, see [suggestion](https://github.com/langchain-ai/langchain/pull/16246#pullrequestreview-1846590962). - **Needed by:** GH-16246 - **Addressed to:** @baskaryan, @cbornet ## Details - Add `cursor` fetch mode - Accept SQL query parameters - Accept both `str` and SQLAlchemy selectables as query expression - Expose `execution_options` - Documentation page (notebook) about `SQLDatabase` [^1] See [About SQLDatabase](https://github.com/langchain-ai/langchain/blob/c1c7b763/docs/docs/integrations/tools/sql_database.ipynb). [^1]: Apparently there hasn't been any yet? --------- Co-authored-by: Andreas Motl <andreas.motl@crate.io>	5 months ago
Tomaz Bratanic	7e4b676d53	community[patch]: Better error propagation for neo4jgraph (#17190) ... There are other errors that could happen when refreshing the schema, so we want to propagate specific errors for more clarity	5 months ago
Luiz Ferreira	34d2daffb3	community[patch]: Fix chat openai unit test (#17124) ... - **Description:** Actually the test named `test_openai_apredict` isn't testing the apredict method from ChatOpenAI. - **Twitter handle:** https://twitter.com/OAlmofadas	5 months ago
Dmitry Kankalovich	f92738a6f6	langchain[minor], community[minor], core[minor]: Async Cache support and AsyncRedisCache (#15817) ... * This PR adds async methods to the LLM cache. * Adds an implementation using Redis called AsyncRedisCache. * Adds a docker compose file at the /docker to help spin up docker * Updates redis tests to use a context manager so flushing always happens by default	5 months ago