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Author	SHA1	Message	Date
Erick Friis	5eca1bd93f	Library Licenses (#13300) ... Same change as #8403 but in other libs also updates (c) LangChain Inc. instead of @hwchase17	6 months ago
Bagatur	14799b139a	infra[patch]: add base deps and fix docs lint (#13998)	6 months ago
Théo LEBRUN	926d4cfda7	Set default region from boto3 session for Bedrock (#13694) ... - **Description:** Set default region from boto3 session for Bedrock - **Issue:** #13683	6 months ago
Snow	1a33e5b500	Repair Wikipedia document loader `load_max_docs` and improve test coverage. (#13769) ... **Description:** Repair Wikipedia document loader `load_max_docs` and improve test coverage. **Issue:** The Wikipedia document loader was not respecting the `load_max_docs` paramater (not reported) and would always return a maximum of 10 documents. This is because the API wrapper (in `utilities/wikipedia.py`) wasn't passing `top_k_results` to the underlying [Wikipedia library](https://wikipedia.readthedocs.io/en/latest/code.html#module-wikipedia). By default this library returns 10 results. The default number of results for the document loader has been reduced from 100 to 25. This is because loading 100 results takes a very long time and is an inconvenient default. It should possibly be 10. In addition, the documentation for the loader reported that there was a hard limit (300) on the number of documents returned. In actuality 300 is the maximum Wikipedia query character length set by the API wrapper. Tests have been added for the document loader (previously missing) and to test the correct numbers of documents are being returned by each class, both by default, and when overridden. Also repaired is the `assert_docs` test which has been updated to correctly test for the default metadata (which includes `source` in recent releases). **Dependencies:** nil **Tag maintainer:** @leo-gan **Twitter handle:** @queenvictoria	6 months ago
Bob Lin	04c4878306	Remove `python_repl` from _BASE_TOOLS (#13962) ... ### **Description:** Previously `python_repl` was a built-in tool, but now it has been moved to `langchain_experimental`. When I use `load_tools` I get an error: ```python In [1]: from langchain.agents import load_tools In [2]: load_tools(["python_repl"]) --------------------------------------------------------------------------- ImportError Traceback (most recent call last) Cell In[2], line 1 ----> 1 load_tools(["python_repl"]) File ~/workspace/langchain/libs/langchain/langchain/agents/load_tools.py:530, in load_tools(tool_names, llm, callbacks, **kwargs) 528 tool_names.extend(requests_method_tools) 529 elif name in _BASE_TOOLS: --> 530 tools.append(_BASE_TOOLS[name]()) 531 elif name in _LLM_TOOLS: 532 if llm is None: File ~/workspace/langchain/libs/langchain/langchain/agents/load_tools.py:84, in _get_python_repl() 83 def _get_python_repl() -> BaseTool: ---> 84 raise ImportError( 85 "This tool has been moved to langchain experiment. " 86 "This tool has access to a python REPL. " 87 "For best practices make sure to sandbox this tool. " 88 "Read https://github.com/langchain-ai/langchain/blob/master/SECURITY.md " 89 "To keep using this code as is, install langchain experimental and " 90 "update relevant imports replacing 'langchain' with 'langchain_experimental'" 91 ) ImportError: This tool has been moved to langchain experiment. This tool has access to a python REPL. For best practices make sure to sandbox this tool. Read https://github.com/langchain-ai/langchain/blob/master/SECURITY.md To keep using this code as is, install langchain experimental and update relevant imports replacing 'langchain' with 'langchain_experimental' ``` In this case, it will be very confusing. I think it is no longer a built-in tool now, so it can be removed from `_BASE_TOOLS` ### **Issue:** https://github.com/langchain-ai/langchain/issues/13858, https://github.com/langchain-ai/langchain/issues/13859, https://github.com/langchain-ai/langchain/issues/13856 ### **Twitter handle:** [lin_bob57617](https://twitter.com/lin_bob57617)	6 months ago
Leonid Ganeline	52eee458bb	renamed `google_vertex_ai_vector_search` notebook (#13484) ... The `integrations/vectorstores/matchingengine.ipynb` example has the "Google Vertex AI Vector Search" title. This place this Title in the wrong order in the ToC (it is sorted by the file name). - Renamed `integrations/vectorstores/matchingengine.ipynb` into `integrations/vectorstores/google_vertex_ai_vector_search.ipynb`. - Updated a correspondent comment in docstring - Rerouted old URL to a new URL --------- Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Leonid Ganeline	f5326cfb4e	docs[patch]: link to LangSmith docs (#13740) ... It happens that there is no link to the LangSmith Docs from the LangChain Docs. Added this link	6 months ago
Leonid Ganeline	bf5787f58b	experimental[patch]: fixed namespace bug (#13585) ... It was : `from langchain.schema.prompts import BasePromptTemplate` but because of the breaking change in the ns, it is now `from langchain.schema.prompt_template import BasePromptTemplate` This bug prevents building the API Reference for the langchain_experimental	6 months ago
Leonid Ganeline	1ab8a14742	docs[patch]: top menu (#13748) ... Addressed this issue with the top menu: It allocates too much space. If the screen is small, then the top menu items are split into two lines and look unreadable. Another issue is with several top menu items: "Chat our docs" and "Also by LangChain". They are compound of several words which also hurts readability. The top menu items should be 1-word size. Updates: - "Chat our docs" -> "Chat" (the meaning is clean after clicking/opening the item) - "Also by LangChain" -> "🦜️🔗" - "🦜️🔗" moved before "Chat" item. This new item is partially copied from the first left item, the "🦜️🔗 LangChain". This design (with two 🦜️🔗 elements, visually splits the top menu into two parts. The first item in each part holds the 🦜️🔗 symbols and, when we click the second 🦜️🔗 item, it opens the drop-down menu. So, we've got two visually similar parts, which visually split the top menu on the right side: the LangChain Docs (and Doc-related items) and the lift side: other LangChain.ai (company) products/docs.	6 months ago
Bob Lin	41b3968d39	docs[patch]: Update CONTRIBUTING.md doc (#13965) ... - **Description:** The new demo notebook should be placed in [docs/docs/modules](https://github.com/langchain-ai/langchain/tree/master/docs/docs/modules) - **Twitter handle:** lin_bob57617 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Taqi Jaffri	144710ad9a	langchain[minor]: Updated DocugamiLoader, includes breaking changes (#13265) ... There are the following main changes in this PR: 1. Rewrite of the DocugamiLoader to not do any XML parsing of the DGML format internally, and instead use the `dgml-utils` library we are separately working on. This is a very lightweight dependency. 2. Added MMR search type as an option to multi-vector retriever, similar to other retrievers. MMR is especially useful when using Docugami for RAG since we deal with large sets of documents within which a few might be duplicates and straight similarity based search doesn't give great results in many cases. We are @docugami on twitter, and I am @tjaffri --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	6 months ago
Bagatur	a20e8f8bb0	experimental[patch]: release 0.0.43 (#13570)	6 months ago
juan-calvo-datatonic	6137894008	templates[minor]: Add rag google sensitive data protection template (#13921) ... This is a template demonstrating how to utilize Google Sensitive Data Protection in conjunction with ChatVertexAI(). Tagging you @efriis as you reviewed my last template. :) Thanks! Proof of successful execution:  --------- Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Erick Friis	8b9dc5e6d3	langchain[patch]: contributing test guide update (#13993)	6 months ago
Bagatur	95a472a85f	docs[patch]: install local core (#13990)	6 months ago
Bagatur	d8fe987ef5	langchain[patch]: release 0.0.342 (#13992)	6 months ago
Bagatur	61ec71064a	docs[patch]: update stack diagram (#13902)	6 months ago
david qiu	9fb6805be4	langchain[minor]: Add retriever for Knowledge Bases for Amazon Bedrock (#13980) ... - **Description:** Adds a retriever implementation for [Knowledge Bases for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/), a new service announced at AWS re:Invent, shortly before this PR was opened. This depends on the `bedrock-agent-runtime` service, which will be included in a future version of `boto3` and of `botocore`. We will open a follow-up PR documenting the minimum required versions of `boto3` and `botocore` after that information is available. - **Issue:** N/A - **Dependencies:** `boto3>=1.33.2, botocore>=1.33.2` - **Tag maintainer:** @baskaryan - **Twitter handles:** `@pjain7` `@dead_letter_q` This PR includes a documentation notebook under `docs/docs/integrations/retrievers`, which I (@dlqqq) have verified independently. EDIT: `bedrock-agent-runtime` service is now included in `boto3>=1.33.2`: 5cf793f493 --------- Co-authored-by: Piyush Jain <piyushjain@duck.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Bagatur	1aed2d1f08	core[patch]: release 0.0.7 (#13989)	6 months ago
David Duong	eb67f07e32	Track RunnableAssign as a separate run trace (#13972) ... Addressing incorrect order being sent to callbacks / tracers, due to the nature of threading --------- Co-authored-by: Nuno Campos <nuno@boringbits.io>	6 months ago
Nuno Campos	0f255bb6c4	In Runnable.stream_log build up final_output from adding output chunks (#12781) ... Add arg to omit streamed_output list, in cases where final_output is enough this saves bandwidth <!-- 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. -->	6 months ago
Nuno Campos	970fe23feb	Fixes for opengpts release (#13960)	6 months ago
David Duong	947daaf833	Exclude Bedrock client and credentials_profile_name fields from serialisation (#13603)	6 months ago
Bagatur	48fbc5513d	infra[patch], langchain[patch]: fix test deps and upper bound langchain dep on core(#13984)	6 months ago
Stefano Lottini	1fd724293b	Astra DB vector store, move constructor docstring to class docstring (#13784) ... This PR rearranges the docstring for the `AstraDB` vector store class so as to have all useful information in the _class_ docstring for ease of reading. (incidentally, due to an oversight, the docstring that was in the constructor ended up buried below some lines of code, thereby disappearing altogether from accessibility. Apologies.)	6 months ago
Johannes Foulds	fc40bd4cdb	AnthropicFunctions function_call compatibility (#13901) ... - **Description:** Updates to `AnthropicFunctions` to be compatible with the OpenAI `function_call` functionality. - **Issue:** The functionality to indicate `auto`, `none` and a forced function_call was not completely implemented in the existing code. - **Dependencies:** None - **Tag maintainer:** @baskaryan , and any of the other maintainers if needed. - **Twitter handle:** None I have specifically tested this functionality via AWS Bedrock with the Claude-2 and Claude-Instant models.	6 months ago
Varun	14cc907d35	Update the stable docs link (#13798) ... - **Description:** Point to the stable version of documentation, - **Twitter handle:** varunzxzx	6 months ago
mengjincn	05ea4fd37d	fix merge None value and non None value error (#13703) ... <!-- 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. -->	6 months ago
Amélie	d2cad53ec0	Fix broken link on Meilisearch vector-store documentation (#13604) ... - **Description:** dead link replacement - **Issue:** no open issue **Note:** Hi langchain team, Sorry to open a PR for this concern but we realized that one of the links present in the documentation booklet was broken 😄	6 months ago
Ali Orozgani	32d794f5a3	iMessage loader: implement message content extraction from attributed… (#13634) ... - **Description:** We are adding functionality to extract message content from the `attributedBody` field of the database, in case the content is not in the `text` field. - **Issue:** Closes #13326 and #10680 - **Dependencies:** None. - **Tag maintainer:** @eyurtsev, @hwchase17 --------- Co-authored-by: onotate <johnp.pham@mail.utoronto.ca>	6 months ago
William FH	e5256bcb69	[Evals] Add Project Tags (#13982) ... Add them to project extra	6 months ago
Rihards Gravis	9e017ff6ba	docs[patch]: Reduce largest static image file size (#13508) ... - **Description:** Reduce image asset file size used in documentation by running them via lossless image optimization ([tinypng](https://www.npmjs.com/package/tinypng-cli) was used in this case). Images wider than 1916px (the maximum width of an image displayed in documentation) where downsized. - **Issue:** No issue is created for this, but the large image file assets caused slow documentation load times - **Dependencies:** No dependencies affected	6 months ago
Nuno Campos	e0bcc98436	infra[patch]: Use langchain core in-tree as a dev dependency (#13957) ... Using the published version means master is broken for contributors whenever we make changes in one lib that depend on the other.	6 months ago
unifyh	2703a1b061	Fix `MarkdownHeaderTextSplitter` not recognizing tilde-fenced code blocks (#13511) ... - **Description:** Previously `MarkdownHeaderTextSplitter` did not consider tilde-fenced code blocks (https://spec.commonmark.org/0.30/#fenced-code-blocks). This PR fixes that. ````md # Bug caused by previous implementation: ~~~py foo() # This is a comment that would be considered header bar() ~~~ ```` - **Tag maintainer:** @baskaryan	6 months ago
Leonid Ganeline	7929b26017	office365 toolkit bug fixes (#13618) ... Several bug fixes: - emails: instead of `bcc` the `cc` is used. - errors in the truncation descriptions - no truncation of the `message_search` Several updates: - generalized UTC format - truncation limit can be changed now in _call()	6 months ago
William FH	60309341bd	Eval Error Key (#13974)	6 months ago
Erick Friis	f9bef600f1	RELEASE: core 0.0.7 (#13973)	6 months ago
Nicolas Bondoux	e17edc4d0b	RunnableLambda: create afunc instance from func when not provided (#13408) ... Fixes #13407. This workaround consists in letting the RunnableLambda create its self.afunc from its self.func when self.afunc is not provided; the change has no dependency. <!-- 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: Erick Friis <erick@langchain.dev> Co-authored-by: Nuno Campos <nuno@langchain.dev>	6 months ago
Nuno Campos	391f200eaa	Implement stream() and astream() for agents (#12783) ... ``` ---- chunk 1 {'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]} ---- chunk 2 {'messages': [FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”")]} ---- chunk 3 {'actions': [AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]} ---- chunk 4 {'messages': [FunctionMessage(content='25 years', name='Search')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years')]} ---- chunk 5 {'actions': [AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]} ---- chunk 6 {'messages': [FunctionMessage(content='Answer: 3.991298452658078', name='Calculator')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]} ---- chunk 7 {'messages': [AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")], 'output': "Leonardo DiCaprio's current girlfriend is the Italian model " 'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 ' 'power is approximately 3.99.'} ---- final {'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}}), FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search'), AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}}), FunctionMessage(content='25 years', name='Search'), AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}}), FunctionMessage(content='Answer: 3.991298452658078', name='Calculator'), AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")], 'output': "Leonardo DiCaprio's current girlfriend is the Italian model " 'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 ' 'power is approximately 3.99.', 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”"), AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years'), AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]} ```	6 months ago
Michael Feil	686162670e	langchain[minor]: Adding `infinity` embedding integration. (#13928) ... This adds integation to https://github.com/michaelfeil/infinity. Users requested it in https://github.com/michaelfeil/infinity/issues/36 @saatvikshah Follows my implementation of gradient.ai. Feedback 1: Well done - I love your CI / repo / poetry setup - I adapted a lot in https://github.com/michaelfeil/infinity. Feedback 2: Not so good: The openai integration contains to much reverse engineering - in general projects such as michaelfeil/infinity and huggingface/text-embeddings-inference are compatible to the `pip install openai` package. Reverse engineering like this one is really hindering the use for me: 8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L347) 8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L351) - it is about preventing 3rd party providers to use the same url + uses interfaces of openai, that are not publically documented.	6 months ago
Bagatur	10a6e7cbb6	langchain[patch], core[patch]: Make common utils public (#13932) ... - rename `langchain_core.chat_models.base._generate_from_stream` -> `generate_from_stream` - rename `langchain_core.chat_models.base._agenerate_from_stream` -> `agenerate_from_stream` - export `langchain_core.utils.utils.build_extra_kwargs` from `langchain_core.utils`	6 months ago
Oleksandr Yaremchuk	c0277d06e8	experimental[patch] Update prompt injection model (#13930) ... - **Description:** Existing model used for Prompt Injection is quite outdated but we fine-tuned and open-source a new model based on the same model deberta-v3-base from Microsoft - [laiyer/deberta-v3-base-prompt-injection](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection). It supports more up-to-date injections and less prone to false-positives. - **Dependencies:** No - **Tag maintainer:** - - **Twitter handle:** @alex_yaremchuk --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Bob Lin	e6ebde9688	experimental[patch]: Add experimental.agent imports (#13839) ... - **Description:** The experimental package needs to be compatible with the usage of importing agents For example, if i use `from langchain.agents import create_pandas_dataframe_agent`, running the program will prompt the following information: ``` Traceback (most recent call last): File "/Users/dongwm/test/main.py", line 1, in <module> from langchain.agents import create_pandas_dataframe_agent File "/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain/agents/__init__.py", line 87, in __getattr__ raise ImportError( ImportError: create_pandas_dataframe_agent has been moved to langchain experimental. See https://github.com/langchain-ai/langchain/discussions/11680 for more information. Please update your import statement from: `langchain.agents.create_pandas_dataframe_agent` to `langchain_experimental.agents.create_pandas_dataframe_agent`. ``` But when I changed to `from langchain_experimental.agents import create_pandas_dataframe_agent`, it was actually wrong: ```python Traceback (most recent call last): File "/Users/dongwm/test/main.py", line 2, in <module> from langchain_experimental.agents import create_pandas_dataframe_agent ImportError: cannot import name 'create_pandas_dataframe_agent' from 'langchain_experimental.agents' (/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain_experimental/agents/__init__.py) ``` I should use `from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent`. In order to solve the problem and make it compatible, I added additional import code to the langchain_experimental package. Now it can be like this Used `from langchain_experimental.agents import create_pandas_dataframe_agent` - **Twitter handle:** [lin_bob57617](https://twitter.com/lin_bob57617)	6 months ago
Tyler Titsworth	afcfa2a5e7	langchain[patch]: Add progress bar option to OllamaEmbeddings (#13882) ... - **Description:** Adds a tqdm progress bar to OllamaEmbeddings when embedding a list. - **Issue:** Related to #13637, but extended to Ollama. - **Dependencies:** `tqdm` made a necessary dependency. Thanks to @ugm2 for helping identify a common problem. Embeddings take a very long time to finish on local machines, and require a progress bar to help identify if one should even attempt the workload. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Kalyan	ec53d983a1	TEMPLATES Add rag-opensearch template (#13501) ... <!-- 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. --> Adding rag-opensearch template. --------- Signed-off-by: kalyanr <kalyan.ben10@live.com> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Leonid Ganeline	e47b9c5285	DOCS: move `adapters` to integrations (#13862) ... Current docs for adapters are in the `Guides/Adapters which is not a good place. - moved Adapters into `Integratons/Components/Adapters/ - simplified the OpenAI adapter notebook - rerouted the old OpenAI adapter page URL to a new one.	6 months ago
jeremyb-data	cd77fba562	Improvement: Weaviate multitenant adddocs (#13827) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** Added a line to pass the tenant parameter to add_data_object - **Issue:** An extra line added from the fix for #9956 - **Dependencies:** n/a - **Tag maintainer:** @baskaryan Tested locally, works as expected with the line change. --------- Co-authored-by: Simon Dai <simon6752@gmail.com>	6 months ago
jiangying	3e30cd8261	NIT: comment typo (#13817)	6 months ago
Manuel Riezebosch	92b07ecaf3	DOCS: fix link to question answering (#13806) ... first link in [overview](https://python.langchain.com/docs/use_cases/question_answering/code_understanding#overview)	6 months ago
Assaf Toledo	ba62ff89cc	BUGFIX: Support for elastic indices that don't return 'metadata' in '_source' (#13903) ... Description: Some Elastic indexes do not return a 'metadata' field in '_source'. However, prior to this PR, the code assumed there always is a 'metadata' field. This PR adds support for cases where the field is missing by adding it manually. Issue: #13869	6 months ago