1551 Commits (1ab181f514b4b852977766774fe9f90175d7c139)

Author	SHA1	Message	Date
ccurme	900115a568	community: release 0.3 (#26472)	6 days ago
Erick Friis	c2a3021bb0	multiple: pydantic 2 compatibility, v0.3 (#26443) ... Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com> Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com> Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: ZhangShenao <15201440436@163.com> Co-authored-by: Friso H. Kingma <fhkingma@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Morgante Pell <morgantep@google.com>	6 days ago
Bagatur	e32adad17a	community[patch]: Release 0.2.17 (#26432)	6 days ago
Harrison Chase	28ad244e77	community, openai: support nested dicts (#26414) ... needed for thinking tokens --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 days ago
Nuno Campos	212c688ee0	core[minor]: Remove serialized manifest from tracing requests for non-llm runs (#26270) ... - This takes a long time to compute, isn't used, and currently called on every invocation of every chain/retriever/etc	1 week ago
Christophe Bornet	9cf7ae0a52	community: Add docstring for HtmlLinkExtractor (#26213) ... Co-authored-by: Erick Friis <erick@langchain.dev>	1 week ago
Christophe Bornet	56580b5fff	community: Add docstring for GLiNERLinkExtractor (#26218) ... Co-authored-by: Erick Friis <erick@langchain.dev>	1 week ago
Christophe Bornet	e235a572a0	community: Add docstring for KeybertLinkExtractor (#26210) ... Co-authored-by: Erick Friis <erick@langchain.dev>	1 week ago
Tomaz Bratanic	181e4fc0e0	Add session expired retry to neo4j graph (#26182) ... Co-authored-by: Erick Friis <erick@langchain.dev>	2 weeks ago
Sebastian Cherny	b3c7ed4913	Adding bind_tools in ChatOctoAI (#26168) ... The object extends from langchain_community.chat_models.openai.ChatOpenAI which doesn't have `bind_tools` defined. I tried extending from `langchain_openai.ChatOpenAI` in https://github.com/langchain-ai/langchain/pull/25975 but that PR got closed because this is not correct. So adding our own `bind_tools` (which for now copying from ChatOpenAI is good enough) will solve the tool calling issue we are having now. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 weeks ago
William FH	262e19b15d	infra: Clear cache for env-var checks (#26073)	2 weeks ago
Bagatur	1241a004cb	fmt	2 weeks ago
Bagatur	4ba14ae9e5	fmt	2 weeks ago
Bagatur	dba308447d	fmt	2 weeks ago
ZhangShenao	c812237217	Improvement[Community] Improve args description in api doc of `DocArrayInMemorySearch` (#26024) ... - Add missing arg - Remove redundant arg	2 weeks ago
Tom Daniel Grande	0207dc1431	community: delta in openai choice can be None, creates handler for that (#25954) ... Thank you for contributing to LangChain! - [X ] **PR title** - [X ] **PR message**: **Description:** adds a handler for when delta choice is None **Issue:** Fixes #25951 **Dependencies:** Not applicable - [ X] **Add tests and docs**: Not applicable - [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. Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no> Co-authored-by: Erick Friis <erick@langchain.dev>	2 weeks ago
Bagatur	0af447c90b	community[patch]: Release 0.2.16 (#25982)	2 weeks ago
Dan O'Donovan	f49da71e87	community[patch]: change default Neo4j username/password (#25226) ... **Description:** Change the default Neo4j username/password (when not supplied as environment variable or in code) from `None` to `""`. Neo4j has an option to [disable auth](https://neo4j.com/docs/operations-manual/current/configuration/configuration-settings/#config_dbms.security.auth_enabled) which is helpful when developing. When auth is disabled, the username / password through the `neo4j` module should be `""` (ie an empty string). Empty strings get marked as false in `langchain_core.utils.env.get_from_dict_or_env` -- changing this code / behaviour would have a wide impact and is undesirable. In order to both _allow_ access to Neo4j with auth disabled and _not_ impact `langchain_core` this patch is presented. The downside would be that if a user forgets to set NEO4J_USERNAME or NEO4J_PASSWORD they would see an invalid credentials error rather than missing credentials error. This could be mitigated but would result in a less elegant patch! **Issue:** Fix issue where langchain cannot communicate with Neo4j if Neo4j auth is disabled.	2 weeks ago
Jorge Piedrahita Ortiz	c7154a4045	community: sambastudio llms api v2 support (#25063) ... - **Description:** SambaStudio GenericV2 API support	2 weeks ago
ZhangShenao	8d784db107	docs: Add missing args in api doc of `WebResearchRetriever` (#25949) ... Add missing args in api doc of `WebResearchRetriever`	2 weeks ago
Isaac Francisco	4833375200	community[patch]: added option to change how duckduckgosearchresults tool converts api outputs into string (#22580) ... Co-authored-by: Bagatur <baskaryan@gmail.com>	2 weeks ago
JonZeolla	78ff51ce83	community[patch]: update the default hf bge embeddings (#22627) ... **Description:** This updates the langchain_community > huggingface > default bge embeddings ([the current default recommends this change](https://huggingface.co/BAAI/bge-large-en)) **Issue:** None **Dependencies:** None **Twitter handle:** @jonzeolla --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 weeks ago
Leonid Ganeline	150251fd49	docs: `integrations` reference updates 13 (#25711) ... Added missed provider pages and links. Fixed inconsistent formatting. Added arxiv references to docstirngs. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 weeks ago
Yash Parmar	51dae57357	community[minor]: jina search tools integrating (jina reader) (#23339) ... - **PR title**: "community: add Jina Search tool" - **Description:** Added the Jina Search tool for querying the Jina search API. This includes the implementation of the JinaSearchAPIWrapper and the JinaSearch tool, along with a Jupyter notebook example demonstrating its usage. - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** [Twitter handle](https://x.com/yashp3020?t=7wM0gQ7XjGciFoh9xaBtqA&s=09) - [x] **Add tests and docs**: If you're adding a new integration, please include 1. 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/ --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 weeks ago
Qingchuan Hao	3145995ed9	community[patch]: BingSearchResults returns raw snippets as artifact(#23304) ... Returns an array of results which is more specific and easier for later use. Tested locally: ``` resp = tool.invoke("what's the weather like in Shanghai?") for item in resp: print(item) ``` returns ``` {'snippet': '<b>Shanghai</b>, <b>Shanghai</b>, China <b>Weather</b> Forecast, with current conditions, wind, air quality, and what to expect for the next 3 days.', 'title': 'Shanghai, Shanghai, China Weather Forecast | AccuWeather', 'link': 'https://www.accuweather.com/en/cn/shanghai/106577/weather-forecast/106577'} {'snippet': '5. 99 / 87 °F. 6. 99 / 86 °F. 7. Detailed forecast for 14 days. Need some help? Current <b>weather</b> <b>in Shanghai</b> and forecast for today, tomorrow, and next 14 days.', 'title': 'Weather for Shanghai, Shanghai Municipality, China - timeanddate.com', 'link': 'https://www.timeanddate.com/weather/china/shanghai'} {'snippet': '<b>Shanghai</b> - <b>Weather</b> warnings issued 14-day forecast. <b>Weather</b> warnings issued. Forecast - <b>Shanghai</b>. Day by day forecast. Last updated Friday at 01:05. Tonight, ... Temperature feels <b>like</b> 34 ...', 'title': 'Shanghai - BBC Weather', 'link': 'https://www.bbc.com/weather/1796236'} {'snippet': 'Current <b>weather</b> <b>in Shanghai</b>, <b>Shanghai</b>, China. Check current conditions <b>in Shanghai</b>, <b>Shanghai</b>, China with radar, hourly, and more.', 'title': 'Shanghai, Shanghai, China Current Weather | AccuWeather', 'link': 'https://www.accuweather.com/en/cn/shanghai/106577/current-weather/106577'} 13-Day Beijing, Xi&#39;an, Chengdu, <b>Shanghai</b> Chinese Language and Culture Immersion Tour. <b>Shanghai</b> in September. Average daily temperature range: 23–29°C (73–84°F) Average rainy days: 10. Average sunny days: 20. September ushers in pleasant autumn <b>weather</b>, making it one of the best months to visit <b>Shanghai</b>. <b>Weather</b> in <b>Shanghai</b>: Climate, Seasons, and Average Monthly Temperature. <b>Shanghai</b> has a subtropical maritime monsoon climate, meaning high humidity and lots of rain. Hot muggy summers, cool falls, cold winters with little snow, and warm springs are the norm. Midsummer through early fall is the best time to visit <b>Shanghai</b>. <b>Shanghai</b>, <b>Shanghai</b>, China <b>Weather</b> Forecast, with current conditions, wind, air quality, and what to expect for the next 3 days. 1165. 45.9. 121. Winter, from December to February, is quite cold: the average January temperature is 5 °C (41 °F). There may be cold periods, with highs around 5 °C (41 °F) or below, and occasionally, even snow can fall. The temperature dropped to -10 °C (14 °F) in January 1977 and to -7 °C (19.5 °F) in January 2016. 5. 99 / 87 °F. 6. 99 / 86 °F. 7. Detailed forecast for 14 days. Need some help? Current <b>weather</b> in <b>Shanghai</b> and forecast for today, tomorrow, and next 14 days. Everything you need to know about today&#39;s <b>weather</b> in <b>Shanghai</b>, <b>Shanghai</b>, China. High/Low, Precipitation Chances, Sunrise/Sunset, and today&#39;s Temperature History. <b>Shanghai</b> - <b>Weather</b> warnings issued 14-day forecast. <b>Weather</b> warnings issued. Forecast - <b>Shanghai</b>. Day by day forecast. Last updated Friday at 01:05. Tonight, ... Temperature feels <b>like</b> 34 ... <b>Shanghai</b> 14 Day Extended Forecast. <b>Weather</b> Today <b>Weather</b> Hourly 14 Day Forecast Yesterday/Past <b>Weather</b> Climate (Averages) Currently: 84 °F. Passing clouds. (<b>Weather</b> station: <b>Shanghai</b> Hongqiao Airport, China). See more current <b>weather</b>. Current <b>weather</b> in <b>Shanghai</b>, <b>Shanghai</b>, China. Check current conditions in <b>Shanghai</b>, <b>Shanghai</b>, China with radar, hourly, and more. <b>Shanghai</b> <b>Weather</b> Forecasts. <b>Weather Underground</b> provides local &amp; long-range <b>weather</b> forecasts, weatherreports, maps &amp; tropical <b>weather</b> conditions for the <b>Shanghai</b> area. ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 weeks ago
Alexander KIRILOV	6a8f8a56ac	community[patch]: added content_columns option to CSVLoader (#23809) ... **Description:** Adding a new option to the CSVLoader that allows us to implicitly specify the columns that are used for generating the Document content. Currently these are implicitly set as "all fields not part of the metadata_columns". In some cases however it is useful to have a field both as a metadata and as part of the document content.	2 weeks ago
Bruno Alvisio	ab527027ac	community: Resolve refs recursively when generating openai_fn from OpenAPI spec (#19002) ... - **Description:** This PR is intended to improve the generation of payloads for OpenAI functions when converting from an OpenAPI spec file. The solution is to recursively resolve `$refs`. Currently when converting OpenAPI specs into OpenAI functions using `openapi_spec_to_openai_fn`, if the schemas have nested references, the generated functions contain `$ref` that causes the LLM to generate payloads with an incorrect schema. For example, for the for OpenAPI spec: ``` text = """ { "openapi": "3.0.3", "info": { "title": "Swagger Petstore - OpenAPI 3.0", "termsOfService": "http://swagger.io/terms/", "contact": { "email": "apiteam@swagger.io" }, "license": { "name": "Apache 2.0", "url": "http://www.apache.org/licenses/LICENSE-2.0.html" }, "version": "1.0.11" }, "externalDocs": { "description": "Find out more about Swagger", "url": "http://swagger.io" }, "servers": [ { "url": "https://petstore3.swagger.io/api/v3" } ], "tags": [ { "name": "pet", "description": "Everything about your Pets", "externalDocs": { "description": "Find out more", "url": "http://swagger.io" } }, { "name": "store", "description": "Access to Petstore orders", "externalDocs": { "description": "Find out more about our store", "url": "http://swagger.io" } }, { "name": "user", "description": "Operations about user" } ], "paths": { "/pet": { "post": { "tags": [ "pet" ], "summary": "Add a new pet to the store", "description": "Add a new pet to the store", "operationId": "addPet", "requestBody": { "description": "Create a new pet in the store", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/Pet" } } }, "required": true }, "responses": { "200": { "description": "Successful operation", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/Pet" } } } } } } } }, "components": { "schemas": { "Tag": { "type": "object", "properties": { "id": { "type": "integer", "format": "int64" }, "model_type": { "type": "number" } } }, "Category": { "type": "object", "required": [ "model", "year", "age" ], "properties": { "year": { "type": "integer", "format": "int64", "example": 1 }, "model": { "type": "string", "example": "Ford" }, "age": { "type": "integer", "example": 42 } } }, "Pet": { "required": [ "name" ], "type": "object", "properties": { "id": { "type": "integer", "format": "int64", "example": 10 }, "name": { "type": "string", "example": "doggie" }, "category": { "$ref": "#/components/schemas/Category" }, "tags": { "type": "array", "items": { "$ref": "#/components/schemas/Tag" } }, "status": { "type": "string", "description": "pet status in the store", "enum": [ "available", "pending", "sold" ] } } } } } } """ ``` Executing: ``` spec = OpenAPISpec.from_text(text) pet_openai_functions, pet_callables = openapi_spec_to_openai_fn(spec) response = model.invoke("Create a pet named Scott", functions=pet_openai_functions) ``` `pet_open_functions` contains unresolved `$refs`: ``` [ { "name": "addPet", "description": "Add a new pet to the store", "parameters": { "type": "object", "properties": { "json": { "properties": { "id": { "type": "integer", "schema_format": "int64", "example": 10 }, "name": { "type": "string", "example": "doggie" }, "category": { "ref": "#/components/schemas/Category" }, "tags": { "items": { "ref": "#/components/schemas/Tag" }, "type": "array" }, "status": { "type": "string", "enum": [ "available", "pending", "sold" ], "description": "pet status in the store" } }, "type": "object", "required": [ "name", "photoUrls" ] } } } } ] ``` and the generated JSON has an incorrect schema (e.g. category is filled with `id` and `name` instead of `model`, `year` and `age`: ``` { "id": 1, "name": "Scott", "category": { "id": 1, "name": "Dogs" }, "tags": [ { "id": 1, "name": "tag1" } ], "status": "available" } ``` With this change, the generated JSON by the LLM becomes, `pet_openai_functions` becomes: ``` [ { "name": "addPet", "description": "Add a new pet to the store", "parameters": { "type": "object", "properties": { "json": { "properties": { "id": { "type": "integer", "schema_format": "int64", "example": 10 }, "name": { "type": "string", "example": "doggie" }, "category": { "properties": { "year": { "type": "integer", "schema_format": "int64", "example": 1 }, "model": { "type": "string", "example": "Ford" }, "age": { "type": "integer", "example": 42 } }, "type": "object", "required": [ "model", "year", "age" ] }, "tags": { "items": { "properties": { "id": { "type": "integer", "schema_format": "int64" }, "model_type": { "type": "number" } }, "type": "object" }, "type": "array" }, "status": { "type": "string", "enum": [ "available", "pending", "sold" ], "description": "pet status in the store" } }, "type": "object", "required": [ "name" ] } } } } ] ``` and the JSON generated by the LLM is: ``` { "id": 1, "name": "Scott", "category": { "year": 2022, "model": "Dog", "age": 42 }, "tags": [ { "id": 1, "model_type": 1 } ], "status": "available" } ``` which has the intended schema. - **Twitter handle:**: @brunoalvisio --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	2 weeks ago
Luiz F. G. dos Santos	36bbdc776e	community: fix bug to support for `file_search` tool from OpenAI (#25927) ... - **Description:** The function `_is_assistants_builtin_tool` didn't had support for `file_search` from OpenAI. This was creating conflict and blocking the usage of such. OpenAI Assistant changed from`retrieval` to `file_search`. The following code ``` agent = OpenAIAssistantV2Runnable.create_assistant( name="Data Analysis Assistant", instructions=prompt[0].content, tools={'type': 'file_search'}, model=self.chat_config.connection.deployment_name, client=llm, as_agent=True, tool_resources={ "file_search": { "vector_store_ids": vector_store_id } } ) ``` Was throwing the following error ``` Traceback (most recent call last): File "/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/chat_decorators.py", line 500, in get_response return await super().get_response(post, context) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/chat_decorators.py", line 96, in get_response response = await self.inner_chat.get_response(post, context) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/chat_decorators.py", line 96, in get_response response = await self.inner_chat.get_response(post, context) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/chat_decorators.py", line 96, in get_response response = await self.inner_chat.get_response(post, context) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [Previous line repeated 4 more times] File "/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/chat/azure_open_ai_chat.py", line 147, in get_response chain = chain_factory.get_chain(prompts, post.conversation.id, overrides, context) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/Documents/codes/shellai-nlp-backend/app/llm_connections/chains.py", line 1324, in get_chain agent = OpenAIAssistantV2Runnable.create_assistant( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_community/agents/openai_assistant/base.py", line 256, in create_assistant tools=[_get_assistants_tool(tool) for tool in tools], # type: ignore ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_community/agents/openai_assistant/base.py", line 256, in <listcomp> tools=[_get_assistants_tool(tool) for tool in tools], # type: ignore ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_community/agents/openai_assistant/base.py", line 119, in _get_assistants_tool return convert_to_openai_tool(tool) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_core/utils/function_calling.py", line 255, in convert_to_openai_tool function = convert_to_openai_function(tool) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/l.guedesdossantos/anaconda3/envs/shell-e/lib/python3.11/site-packages/langchain_core/utils/function_calling.py", line 230, in convert_to_openai_function raise ValueError( ValueError: Unsupported function {'type': 'file_search'} Functions must be passed in as Dict, pydantic.BaseModel, or Callable. If they're a dict they must either be in OpenAI function format or valid JSON schema with top-level 'title' and 'description' keys. ``` With the proposed changes, this is fixed and the function will have support for `file_search`. This was the only place missing the support for `file_search`. Reference doc https://platform.openai.com/docs/assistants/tools/file-search - **Twitter handle:** luizf0992 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	2 weeks ago
xander-art	6cd452d985	Feature/update hunyuan (#25779) ... Description: - Add system templates and user templates in integration testing - initialize the response id field value to request_id - Adjust the default model to hunyuan-pro - Remove the default values of Temperature and TopP - Add SystemMessage all the integration tests have passed. 1、Execute integration tests for the first time <img width="1359" alt="71ca77a2-e9be-4af6-acdc-4d665002bd9b" src="https://github.com/user-attachments/assets/9298dc3a-aa26-4bfa-968b-c011a4e699c9"> 2、Run the integration test a second time <img width="1501" alt="image" src="https://github.com/user-attachments/assets/61335416-4a67-4840-bb89-090ba668e237"> Issue: None Dependencies: None Twitter handle: None --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
Yuwen Hu	566e9ba164	community: add Intel GPU support to `ipex-llm` llm integration (#22458) ... **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 Intel GPU support to `ipex-llm` llm integration. **Dependencies:** `ipex-llm` **Contribution maintainer**: @ivy-lv11 @Oscilloscope98 **tests and docs**: - Add: langchain/docs/docs/integrations/llms/ipex_llm_gpu.ipynb - Update: langchain/docs/docs/integrations/llms/ipex_llm_gpu.ipynb - Update: langchain/libs/community/tests/llms/test_ipex_llm.py --------- Co-authored-by: ivy-lv11 <zhicunlv@gmail.com>	3 weeks ago
Emmanuel Leroy	654da27255	improve llamacpp embeddings (#12972) ... - **Description:** Improve llamacpp embedding class by adding the `device` parameter so it can be passed to the model and used with `gpu`, `cpu` or Apple metal (`mps`). Improve performance by making use of the bulk client api to compute embeddings in batches. - **Dependencies:** none - **Tag maintainer:** @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
ℍ𝕠𝕝𝕝𝕠𝕨 𝕄𝕒𝕟	64b62f6ae4	community[neo4j_vector]: make embedding dimension check optional (#25737) ... **Description:** Starting from Neo4j 5.23 (22 August 2024), with vector-2.0 indexes, `vector.dimensions` is not required to be set, which will cause it the key not exist error in index config if it's not set. Since the existence of vector.dimensions will only ensure additional checks, this commit turns embedding dimension check optional, and only do checks when it exists (not None). https://neo4j.com/release-notes/database/neo4j-5/ **Twitter handle:** @HollowM186 Signed-off-by: Hollow Man <hollowman@opensuse.org> Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Christophe Bornet	0a752a74cc	community[patch], docs: Add API reference doc for GraphVectorStore (#25751)	3 weeks ago
Bagatur	ca1c3bd9c0	community[patch]: bump + fix core dep (#25901)	3 weeks ago
mehdiosa	c6f00e6bdc	community: Fix branch not being considered when using GithubFileLoader (#20075) ... - **Description:** Added `ref` query parameter so data is not loaded only from the default branch but any branch passed --------- Co-authored-by: Osama Mehdi <mehdi@hm.edu> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Alex Sherstinsky	617a4e617b	community: Fix a bug in handling kwargs overwrites in Predibase integration, and update the documentation. (#25893) ... Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	3 weeks ago
Anush	ade4bfdff1	qdrant: Updated class check in Self-Query Retriever factory (#25877) ... ## Description - Updates the self-query retriever factory to check for the new Qdrant vector store class. i.e. `langchain_qdrant.QdrantVectorstore`. - Deprecates `QdrantSparseVectorRetriever`, since the vector store implementation natively supports it now. Resolves #25798	3 weeks ago
Djordje	862ef32fdc	community: Fixed infinity embeddings async request (#25882) ... **Description:** Fix async infinity embeddings **Issue:** #24942 @baskaryan, @ccurme	3 weeks ago
rainsubtime	f75d5621e2	community:Fix a bug of LLM in moonshot (#25878) ... - **Description:** When useing LLM integration moonshot,it's occurring error "'Moonshot' object has no attribute '_client'",it's because of the "_client" that is private in pydantic v1.0 so that we can't use it.I turn "_client" into "client" , the error to be resolved! - **Issue:** the issue #24390 - **Dependencies:** none - **Twitter handle:** @Rainsubtime - [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/ Co-authored-by: Cyue <Cyue_work2001@163.com>	3 weeks ago
ZhangShenao	fd0f147df3	Improvement[Community] Add tool-calling test case for `ChatZhipuAI` (#25884) ... - Add tool-calling test case for `ChatZhipuAI`	3 weeks ago
默奕	6377185291	add neo4j query constructor for self query (#25288) ... - [x] **PR title - community: add neo4j query constructor for self query** - [x] **PR message** - **Description:** adding a Neo4jTranslator so that the Neo4j vector database can use SelfQueryRetriever - **Issue:** this issue had been raised before in #19748 - **Dependencies:** none. - **Twitter handle:** @moyi_dang - p.s. I have not added the query constructor in BUILTIN_TRANSLATORS in this PR, I want to make changes to only one package at a time. - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
Erick Friis	09b04c7e3b	"community: release 0.2.15" (#25867)	3 weeks ago
Erick Friis	f7e62754a1	community: undo azure_ad_access_token breaking change (#25818)	3 weeks ago
Kyle Winkelman	201bdf7148	community: Cap AzureOpenAIEmbeddings chunk_size at 2048 instead of 16. (#25852) ... **Description:** Within AzureOpenAIEmbeddings there is a validation to cap `chunk_size` at 16. The value of 16 is either an old limitation or was erroneously chosen. I have checked all of the `preview` and `stable` releases to ensure that the `embeddings` endpoint can handle 2048 entries [Azure/azure-rest-api-specs](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference). I have also found many locations that confirm this limit should be 2048: - https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#embeddings - https://learn.microsoft.com/en-us/azure/ai-services/openai/quotas-limits **Issue:** fixes #25462	3 weeks ago
Allan Ascencio	a8af396a82	added octoai test (#21793) ... - [ ] **PR title**: community: add tests for ChatOctoAI - [ ] **PR message**: Description: Added unit tests for the ChatOctoAI class in the community package to ensure proper validation and default values. These tests verify the correct initialization of fields, the handling of missing required parameters, and the proper setting of aliases. Issue: N/A Dependencies: None --------- Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 weeks ago
Param Singh	69f9acb60f	premai[patch]: Standardize premai params (#21513) ... Thank you for contributing to LangChain! community:premai[patch]: standardize init args - updated `temperature` with Pydantic Field, updated the unit test. - updated `max_tokens` with Pydantic Field, updated the unit test. - updated `max_retries` with Pydantic Field, updated the unit test. Related to #20085 --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: ccurme <chester.curme@gmail.com>	3 weeks ago
Guangdong Liu	fcf9230257	community(sparkllm): Add function call support in Sparkllm chat model. (#20607) ... - **Description:** Add function call support in Sparkllm chat model. Related documents https://www.xfyun.cn/doc/spark/Web.html#_2-function-call%E8%AF%B4%E6%98%8E - @baskaryan --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 weeks ago
Jorge Piedrahita Ortiz	9ac953a948	Community: sambastudio embeddings GenericV2 API support (#25064) ... - **Description:** SambaStudio GenericV2 API support Minor changes for requests error handling	3 weeks ago
Sam Jove	bdce9a47d0	community[patch]: callback before yield for _astream (gigachat) (#25834) ... Description: Moves yield to after callback for _astream for gigachat in the community package Issue: #16913 --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
Jinoos Lee	703af9ffe3	Patch enable to use Amazon OpenSearch Serverless(aoss) for Semantic Cache store (#25833) ... - [x] **PR title**: "community: Patch enable to use Amazon OpenSearch Serverless for Semantic Cache store" - [x] **PR message**: - **Description:** OpenSearchSemanticCache class support Amazon OpenSearch Serverless for Semantic Cache store, it's only required to pass auth(http_auth) parameter to initializer - **Dependencies:** none If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Jinoos Lee <jinoos@amazon.com>	3 weeks ago