2843 Commits (a23c719c8b69e10f6658a28187561943c807b0ba)

Author	SHA1	Message	Date
Aditya	a23c719c8b	google-genai[minor]: add safety settings (#16836) ... Replace this entire comment with: - **Description:Expose safety_settings for Gemini integrations on google-generativeai - **Issue:NA, - **Dependencies:NA - **Twitter handle:@aditya_rane @lkuligin for review --------- Co-authored-by: adityarane@google.com <adityarane@google.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 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	7 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>	7 months ago
Erick Friis	42648061ad	openai[patch]: code cleaning (#17355) ... h/t @tdene for finding cleanup op in #17047	7 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. -->	7 months ago
Tomaz Bratanic	19a1c9183d	Improve graph cypher qa prompt (#17380) ... Unlike vector results, the LLM has to completely trust the context of a graph database result, even if it doesn't provide whole context. We tried with instructions, but it seems that adding a single example is the way to go to solve this issue.	7 months ago
Sandeep Banerjee	183daa6e6f	google-genai[patch]: on_llm_new_token fix (#16924) ... ### This pull request makes the following changes: * Fixed issue #16913 Fixed the google gen ai chat_models.py code to make sure that the callback is called before the token is yielded <!-- 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. --> --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Bagatur	10c10f2dea	cli[patch]: integration template nits (#14691) ... Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	99540d3d75	infra: no print in newer partner packages (#17353) ... <!-- 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. -->	7 months ago
William FH	7c03cc5ed4	Support serialization when inputs/outputs contain generators (#17338) ... Pydantic's `dict()` function raises an error here if you pass in a generator. We have a more robust serialization function in lagnsmith that we will use instead.	7 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	7 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>	7 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>	7 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>	7 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>	7 months ago
Bagatur	01409add5a	google-vertexai[patch]: rm deps (#17077) ... Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	1c2facf88d	nvidia-ai-endpoints[patch]: release 0.0.3 (#17345)	7 months ago
Vadim Kudlay	5f9ac6986e	nvidia-ai-endpoints[patch]: model arguments (e.g. temperature) on construction bug (#17290) ... - **Issue:** Issue with model argument support (been there for a while actually): - Non-specially-handled arguments like temperature don't work when passed through constructor. - Such arguments DO work quite well with `bind`, but also do not abide by field requirements. - Since initial push, server-side error messages have gotten better and v0.0.2 raises better exceptions. So maybe it's better to let server-side handle such issues? - **Description:** - Removed ChatNVIDIA's argument fields in favor of `model_kwargs`/`model_kws` arguments which aggregates constructor kwargs (from constructor pathway) and merges them with call kwargs (bind pathway). - Shuffled a few functions from `_NVIDIAClient` to `ChatNVIDIA` to streamline construction for future integrations. - Minor/Optional: Old services didn't have stop support, so client-side stopping was implemented. Now do both. - **Any Breaking Changes:** Minor breaking changes if you strongly rely on chat_model.temperature, etc. This is captured by chat_model.model_kwargs. PR passes tests and example notebooks and example testing. Still gonna chat with some people, so leaving as draft for now. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Leonid Ganeline	932c52c333	community[patch]: docstrings (#16810) ... - added missed docstrings - formated docstrings to the consistent form	7 months ago
Leonid Ganeline	ae66bcbc10	core[patch]: docstring update (#16813) ... - added missed docstrings - formated docstrings to consistent form	7 months ago
Eugene Yurtsev	e10030e241	core[patch]: Add unit test to cover different streaming format for json parsing (#17063) ... Add unit test to cover this issue: https://github.com/langchain-ai/langchain/issues/16423 which was resolved by this PR: https://github.com/langchain-ai/langchain/pull/16670/files --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Kononov Pavel	15bc201967	langchain_community: Fix typo bug (#17324) ... Problem from #17095 This error wasn't in the v1.4.0	7 months ago
Erick Friis	e660a1685b	google-genai[patch]: release 0.0.8 (#17285)	7 months ago
Erick Friis	febf9540b9	google-genai[patch]: fix tool format, use protos (#17284)	7 months ago
German Martin	1032faba5f	langchain_google_genai : Add missing _identifying_params property. (#17224) ... Description: Missing _identifying_params create issues when dealing with callbacks to get current run model parameters. All other model partners implementation provide this property and also provide _default_params. I'm not sure about the default values to include or if we can re-use the same as for _VertexAICommon(), this change allows you to access the model parameters correctly. Issue: Not exactly this issue but could be related https://github.com/langchain-ai/langchain/issues/14711 Twitter handle:@musicaoriginal2	7 months ago
Erick Friis	e4da7918f3	google-genai[patch]: fix streaming, function calling (#17268)	7 months ago
Ruben Hakopian	96b5711a0c	google-vertexai[patch]: Fixed SafetySettings handling in streaming API in VertexAI (#17278) ... The streaming API doesn't separate safety_settings from the generation_config payload. As the result the following error is observed when using `stream` API. The functionality is correct with `invoke` API. The fix separates the `safety_settings` from params and sets it as argument to the `send_message` method. ``` ERROR: Unknown field for GenerationConfig: safety_settings Traceback (most recent call last): File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 250, in stream raise e File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 234, in stream for chunk in self._stream( File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_google_vertexai/chat_models.py", line 501, in _stream for response in responses: File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 921, in _send_message_streaming for chunk in stream: File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 514, in _generate_content_streaming request = self._prepare_request( ^^^^^^^^^^^^^^^^^^^^^^ File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 256, in _prepare_request gapic_generation_config = gapic_content_types.GenerationConfig( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/proto/message.py", line 576, in __init__ raise ValueError( ValueError: Unknown field for GenerationConfig: safety_settings ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Bagatur	65e97c9b53	infra: mv SQLDatabase tests to community (#17276)	7 months ago
Bagatur	72c7af0bc0	langchain[patch]: undo redis cache import (#17275)	7 months ago
Bagatur	8bad4157ad	langchain[patch]: Release 0.1.6 (#17133)	7 months ago
Bagatur	7fa4dc593f	core[patch]: Release 0.1.22 (#17274)	7 months ago
Bagatur	02ef9164b5	langchain[patch]: expose cohere rerank score, add parent doc param (#16887)	7 months ago
Bagatur	35c1bf339d	infra: rm boto3, gcaip from pyproject (#17270)	7 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>	7 months ago
Mohammad Mohtashim	e35c7fa3b2	[Langchain_core]: Added Docstring for RunnableConfigurableAlternatives (#17263) ... I noticed that RunnableConfigurableAlternatives which is an important composition in LCEL has no Docstring. Therefore I added the detailed Docstring for it. @baskaryan, @eyurtsev, @hwchase17 please have a look and let me if the docstring is looking good. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 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>	7 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>	7 months ago
joelsprunger	3984f6604f	langchain: adds recursive json splitter (#17144) ... - **Description:** This adds a recursive json splitter class to the existing text_splitters as well as unit tests - **Issue:** splitting text from structured data can cause issues if you have a large nested json object and you split it as regular text you may end up losing the structure of the json. To mitigate against this you can split the nested json into large chunks and overlap them, but this causes unnecessary text processing and there will still be times where the nested json is so big that the chunks get separated from the parent keys. As an example you wouldn't want the following to be split in half: ```shell {'val0': 'DFWeNdWhapbR', 'val1': {'val10': 'QdJo', 'val11': 'FWSDVFHClW', 'val12': 'bkVnXMMlTiQh', 'val13': 'tdDMKRrOY', 'val14': 'zybPALvL', 'val15': 'JMzGMNH', 'val16': {'val160': 'qLuLKusFw', 'val161': 'DGuotLh', 'val162': 'KztlcSBropT', -----------------------------------------------------------------------split----- 'val163': 'YlHHDrN', 'val164': 'CtzsxlGBZKf', 'val165': 'bXzhcrWLmBFp', 'val166': 'zZAqC', 'val167': 'ZtyWno', 'val168': 'nQQZRsLnaBhb', 'val169': 'gSpMbJwA'}, 'val17': 'JhgiyF', 'val18': 'aJaqjUSFFrI', 'val19': 'glqNSvoyxdg'}} ``` Any llm processing the second chunk of text may not have the context of val1, and val16 reducing accuracy. Embeddings will also lack this context and this makes retrieval less accurate. Instead you want it to be split into chunks that retain the json structure. ```shell {'val0': 'DFWeNdWhapbR', 'val1': {'val10': 'QdJo', 'val11': 'FWSDVFHClW', 'val12': 'bkVnXMMlTiQh', 'val13': 'tdDMKRrOY', 'val14': 'zybPALvL', 'val15': 'JMzGMNH', 'val16': {'val160': 'qLuLKusFw', 'val161': 'DGuotLh', 'val162': 'KztlcSBropT', 'val163': 'YlHHDrN', 'val164': 'CtzsxlGBZKf'}}} ``` and ```shell {'val1':{'val16':{ 'val165': 'bXzhcrWLmBFp', 'val166': 'zZAqC', 'val167': 'ZtyWno', 'val168': 'nQQZRsLnaBhb', 'val169': 'gSpMbJwA'}, 'val17': 'JhgiyF', 'val18': 'aJaqjUSFFrI', 'val19': 'glqNSvoyxdg'}} ``` This recursive json text splitter does this. Values that contain a list can be converted to dict first by using split(... convert_lists=True) otherwise long lists will not be split and you may end up with chunks larger than the max chunk. In my testing large json objects could be split into small chunks with ✅ Increased question answering accuracy ✅ The ability to split into smaller chunks meant retrieval queries can use fewer tokens - **Dependencies:** json import added to text_splitter.py, and random added to the unit test - **Twitter handle:** @joelsprunger --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
Leonid Kuligin	1862900078	google-genai[patch]: added parsing of function call / response (#17245)	7 months ago
Cailin Wang	a210a8bc53	langchain[patch]: Fix create_retriever_tool missing on_retriever_end Document content (#16933) ... - **Description:** In create_retriever_tool create_tool, fix create_retriever_tool's missing Document content for on_retriever_end, caused by create_retriever_tool's missing callbacks parameter, - **Twitter handle:** @CailinWang_ --------- Co-authored-by: root <root@Bluedot-AI> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Sparsh Jain	a2167614b7	google-genai[patch]: Invoke callback prior to yielding token (#17092) ... - **Description:** Invoke callback prior to yielding token in stream and astream methods for Google-genai, - **Issue:** the issue # 16913, - **Twitter handle:** Sparsh10649446 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 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"}])) ```	7 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)	7 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	7 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.	7 months ago
Bagatur	852973d616	langchain[minor], core[minor]: update json, pydantic parser. add openai-json structured output runnable (#16914)	7 months ago
hsuyuming	e22c4d4eb0	google-vertexai[patch]: fix _parse_response_candidate issue (#16647) ... **Description:** enable _parse_response_candidate to support complex structure format. **Issue:** currently, if Gemini response complex args format, people will get "TypeError: Object of type RepeatedComposite is not JSON serializable" error from _parse_response_candidate. response candidate example ``` content { role: "model" parts { function_call { name: "Information" args { fields { key: "people" value { list_value { values { string_value: "Joe is 30, his mom is Martha" } } } } } } } } finish_reason: STOP safety_ratings { category: HARM_CATEGORY_HARASSMENT probability: NEGLIGIBLE } safety_ratings { category: HARM_CATEGORY_HATE_SPEECH probability: NEGLIGIBLE } safety_ratings { category: HARM_CATEGORY_SEXUALLY_EXPLICIT probability: NEGLIGIBLE } safety_ratings { category: HARM_CATEGORY_DANGEROUS_CONTENT probability: NEGLIGIBLE } ``` error msg: ``` Traceback (most recent call last): File "/home/jupyter/user/abehsu/gemini_langchain_tools/example2.py", line 36, in <module> print(tagging_chain.invoke({"input": "Joe is 30, his mom is Martha"})) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 2053, in invoke input = step.invoke( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 3887, in invoke return self.bound.invoke( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 165, in invoke self.generate_prompt( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 543, in generate_prompt return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 407, in generate raise e File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 397, in generate self._generate_with_cache( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 576, in _generate_with_cache return self._generate( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_google_vertexai/chat_models.py", line 406, in _generate generations = [ File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_google_vertexai/chat_models.py", line 408, in <listcomp> message=_parse_response_candidate(c), File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_google_vertexai/chat_models.py", line 280, in _parse_response_candidate function_call["arguments"] = json.dumps( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/json/__init__.py", line 231, in dumps return _default_encoder.encode(obj) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/json/encoder.py", line 199, in encode chunks = self.iterencode(o, _one_shot=True) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/json/encoder.py", line 257, in iterencode return _iterencode(o, 0) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/json/encoder.py", line 179, in default raise TypeError(f'Object of type {o.__class__.__name__} ' TypeError: Object of type RepeatedComposite is not JSON serializable ``` **Twitter handle:** @abehsu1992626	7 months ago
Erick Friis	d77bb7b4e9	google-vertexai[patch]: integration test fix, release 0.0.5 (#17258)	7 months ago
Aditya	98176ac982	langchain_google_vertexai : added logic to override get_num_tokens_from_messages() for ChatVertexAI (#16784) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description: added logic to override get_num_tokens_from_messages() for ChatVertexAI. Currently ChatVertexAI was inheriting get_num_tokens_from_messages() from BaseChatModel which in-turn was calling GPT-2 tokenizer - **Issue: NA - **Dependencies: NA - **Twitter handle:@aditya_rane @lkuligin for review --------- Co-authored-by: adityarane@google.com <adityarane@google.com> Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>	7 months ago
Bassem Yacoube	4e3ed7f043	community[patch]: octoai embeddings bug fix (#17216) ... fixes a bug in octoa_embeddings provider	7 months ago