langchain

Commit Graph

Author	SHA1	Message	Date
Matt Adams	98e1bbfbbd	Add missing dependencies to apify.ipynb (#6331 ) Fixes errors caused by missing dependencies when running the notebook.	1 year ago
Francisco Ingham	488d2d5da9	Entity extraction improvements (#6342 ) Added fix to avoid irrelevant attributes being returned plus an example of extracting unrelated entities and an exampe of using an 'extra_info' attribute to extract unstructured data for an entity. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	7f8ff2a317	add tagger nb (#7637 )	1 year ago
Jacob Lee	cdb93ab5ca	Adds OpenAI functions powered document metadata tagger (#7521 ) Adds a new document transformer that automatically extracts metadata for a document based on an input schema. I also moved `document_transformers.py` to `document_transformers/__init__.py` to group it with this new transformer - it didn't seem to cause issues in the notebook, but let me know if I've done something wrong there. Also had a linter issue I couldn't figure out: ``` MacBook-Pro:langchain jacoblee$ make lint poetry run mypy . docs/dist/conf.py: error: Duplicate module named "conf" (also at "./docs/api_reference/conf.py") docs/dist/conf.py: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#mapping-file-paths-to-modules for more info docs/dist/conf.py: note: Common resolutions include: a) using `--exclude` to avoid checking one of them, b) adding `__init__.py` somewhere, c) using `--explicit-package-bases` or adjusting MYPYPATH Found 1 error in 1 file (errors prevented further checking) make: *** [lint] Error 2 ``` @rlancemartin @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jason Fan	8effd90be0	Add new types of document transformers (#7379 ) - Description: Add two new document transformers that translates documents into different languages and converts documents into q&a format to improve vector search results. Uses OpenAI function calling via the [doctran](https://github.com/psychic-api/doctran/tree/main) library. - Issue: N/A - Dependencies: `doctran = "^0.0.5"` - Tag maintainer: @rlancemartin @eyurtsev @hwchase17 - Twitter handle: @psychicapi or @jfan001 Notes - Adheres to the `DocumentTransformer` abstraction set by @dev2049 in #3182 - refactored `EmbeddingsRedundantFilter` to put it in a file under a new `document_transformers` module - Added basic docs for `DocumentInterrogator`, `DocumentTransformer` as well as the existing `EmbeddingsRedundantFilter` --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jamie Broomall	0e1d7a27c6	WhyLabsCallbackHandler updates (#7621 ) Updates to the WhyLabsCallbackHandler and example notebook - Update dependency to langkit 0.0.6 which defines new helper methods for callback integrations - Update WhyLabsCallbackHandler to use the new `get_callback_instance` so that the callback is mostly defined in langkit - Remove much of the implementation of the WhyLabsCallbackHandler here in favor of the callback instance This does not change the behavior of the whylabs callback handler implementation but is a reorganization that moves some of the implementation externally to our optional dependency package, and should make future updates easier. @agola11	1 year ago
Gaurang Pawar	53722dcfdc	Fixed a typo in pinecone_hybrid_search.ipynb (#7627 ) Fixed a small typo in documentation	1 year ago
Bagatur	ee70d4a0cd	mv tutorials (#7614 )	1 year ago
Yaohui Wang	d85c33a5c3	Fix the markdown rendering issue with a code block inside a markdown code block (#6625 ) ### Description - Fix the markdown rendering issue with a code block inside a markdown, using a different number of backticks for the delimiters. Current doc site: <https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/code_splitter#markdown> After fix: <img width="480" alt="image" src="https://github.com/hwchase17/langchain/assets/3115235/d9921d59-64e6-4a34-9c62-79743667f528"> ### Who can review PTAL @dev2049 Co-authored-by: Yaohui Wang <wangyaohui.01@bytedance.com>	1 year ago
Yaroslav Halchenko	0d92a7f357	codespell: workflow, config + some (quite a few) typos fixed (#6785 ) Probably the most boring PR to review ;) Individual commits might be easier to digest --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
Sam	931e68692e	Adds a chain around sympy for symbolic math (#6834 ) - Description: Adds a new chain that acts as a wrapper around Sympy to give LLMs the ability to do some symbolic math. - Dependencies: SymPy --------- Co-authored-by: sreiswig <sreiswig@github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Subsegment	6e1000dc8d	docs : Use more meaningful cnosdb examples (#7587 ) This change makes the ecosystem integrations cnosdb documentation more realistic and easy to understand. - change examples of question and table - modify typo and format	1 year ago
ausboss	50316f6477	Adding LLM wrapper for Kobold AI (#7560 ) - Description: add wrapper that lets you use KoboldAI api in langchain - Issue: n/a - Dependencies: none extra, just what exists in lanchain - Tag maintainer: @baskaryan - Twitter handle: @zanzibased --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
os1ma	2667ddc686	Fix `make docs_build` and related scripts (#7276 ) Description: a description of the change Fixed `make docs_build` and related scripts which caused errors. There are several changes. First, I made the build of the documentation and the API Reference into two separate commands. This is because it takes less time to build. The commands for documents are `make docs_build`, `make docs_clean`, and `make docs_linkcheck`. The commands for API Reference are `make api_docs_build`, `api_docs_clean`, and `api_docs_linkcheck`. It looked like `docs/.local_build.sh` could be used to build the documentation, so I used that. Since `.local_build.sh` was also building API Rerefence internally, I removed that process. `.local_build.sh` also added some Bash options to stop in error or so. Futher more added `cd "${SCRIPT_DIR}"` at the beginning so that the script will work no matter which directory it is executed in. `docs/api_reference/api_reference.rst` is removed, because which is generated by `docs/api_reference/create_api_rst.py`, and added it to .gitignore. Finally, the description of CONTRIBUTING.md was modified. Issue: the issue # it fixes (if applicable) https://github.com/hwchase17/langchain/issues/6413 Dependencies: any dependencies required for this change `nbdoc` was missing in group docs so it was added. I installed it with the `poetry add --group docs nbdoc` command. I am concerned if any modifications are needed to poetry.lock. I would greatly appreciate it if you could pay close attention to this file during the review. Tag maintainer - General / Misc / if you don't know who to tag: @baskaryan If this PR needs any additional changes, I'll be happy to make them! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
schop-rob	e811c5e8c6	Add OpenAI organization ID to docs (#7398 ) Description: I added an example of how to reference the OpenAI API Organization ID, because I couldn't find it before. In the example, it is mentioned how to achieve this using environment variables as well as parameters for the OpenAI()-class Issue: - Dependencies: - Twitter @schop-rob	1 year ago
Kenny	8741e55e7c	Template formats documentation (#7404 ) Simple addition to the documentation, adding the correct import statement & showcasing using Python FStrings.	1 year ago
OwenElliott	9cb2347453	Fix broken link from Marqo Ecosystem (#7510 ) Small fix to a link from the Marqo page in the ecosystem. The link was not updated correctly when the documentation structure changed to html pages instead of links to notebooks.	1 year ago
Kacper Łukawski	1f83b5f47e	Reuse the existing collection if configured properly in Qdrant.from_texts (#7530 ) This PR changes the behavior of `Qdrant.from_texts` so the collection is reused if not requested to recreate it. Previously, calling `Qdrant.from_texts` or `Qdrant.from_documents` resulted in removing the old data which was confusing for many.	1 year ago
Felix Brockmeier	406a9dc11f	Add notebook example for Lemon AI NLP Workflow Automation (#7556 ) - Description: Added notebook to LangChain docs that explains how to use Lemon AI NLP Workflow Automation tool with Langchain - Issue: not applicable - Dependencies: not applicable - Tag maintainer: @agola11 - Twitter handle: felixbrockm	1 year ago
Lance Martin	9e067b8cc9	Add env setup (#7550 ) Include setup	1 year ago
Bagatur	d2137eea9f	fix cpal docs (#7545 )	1 year ago
Boris	9129318466	CPAL (#6255 ) # Causal program-aided language (CPAL) chain ## Motivation This builds on the recent [PAL](https://arxiv.org/abs/2211.10435) to stop LLM hallucination. The problem with the [PAL](https://arxiv.org/abs/2211.10435) approach is that it hallucinates on a math problem with a nested chain of dependence. The innovation here is that this new CPAL approach includes causal structure to fix hallucination. For example, using the below word problem, PAL answers with 5, and CPAL answers with 13. "Tim buys the same number of pets as Cindy and Boris." "Cindy buys the same number of pets as Bill plus Bob." "Boris buys the same number of pets as Ben plus Beth." "Bill buys the same number of pets as Obama." "Bob buys the same number of pets as Obama." "Ben buys the same number of pets as Obama." "Beth buys the same number of pets as Obama." "If Obama buys one pet, how many pets total does everyone buy?" The CPAL chain represents the causal structure of the above narrative as a causal graph or DAG, which it can also plot, as shown below. ![complex-graph](https://github.com/hwchase17/langchain/assets/367522/d938db15-f941-493d-8605-536ad530f576) . The two major sections below are: 1. Technical overview 2. Future application Also see [this jupyter notebook](https://github.com/borisdev/langchain/blob/master/docs/extras/modules/chains/additional/cpal.ipynb) doc. ## 1. Technical overview ### CPAL versus PAL Like [PAL](https://arxiv.org/abs/2211.10435), CPAL intends to reduce large language model (LLM) hallucination. The CPAL chain is different from the PAL chain for a couple of reasons. * CPAL adds a causal structure (or DAG) to link entity actions (or math expressions). * The CPAL math expressions are modeling a chain of cause and effect relations, which can be intervened upon, whereas for the PAL chain math expressions are projected math identities. PAL's generated python code is wrong. It hallucinates when complexity increases. ```python def solution(): """Tim buys the same number of pets as Cindy and Boris.Cindy buys the same number of pets as Bill plus Bob.Boris buys the same number of pets as Ben plus Beth.Bill buys the same number of pets as Obama.Bob buys the same number of pets as Obama.Ben buys the same number of pets as Obama.Beth buys the same number of pets as Obama.If Obama buys one pet, how many pets total does everyone buy?""" obama_pets = 1 tim_pets = obama_pets cindy_pets = obama_pets + obama_pets boris_pets = obama_pets + obama_pets total_pets = tim_pets + cindy_pets + boris_pets result = total_pets return result # math result is 5 ``` CPAL's generated python code is correct. ```python story outcome data name code value depends_on 0 obama pass 1.0 [] 1 bill bill.value = obama.value 1.0 [obama] 2 bob bob.value = obama.value 1.0 [obama] 3 ben ben.value = obama.value 1.0 [obama] 4 beth beth.value = obama.value 1.0 [obama] 5 cindy cindy.value = bill.value + bob.value 2.0 [bill, bob] 6 boris boris.value = ben.value + beth.value 2.0 [ben, beth] 7 tim tim.value = cindy.value + boris.value 4.0 [cindy, boris] query data { "question": "how many pets total does everyone buy?", "expression": "SELECT SUM(value) FROM df", "llm_error_msg": "" } # query result is 13 ``` Based on the comments below, CPAL's intended location in the library is `experimental/chains/cpal` and PAL's location is`chains/pal`. ### CPAL vs Graph QA Both the CPAL chain and the Graph QA chain extract entity-action-entity relations into a DAG. The CPAL chain is different from the Graph QA chain for a few reasons. * Graph QA does not connect entities to math expressions * Graph QA does not associate actions in a sequence of dependence. * Graph QA does not decompose the narrative into these three parts: 1. Story plot or causal model 4. Hypothetical question 5. Hypothetical condition ### Evaluation Preliminary evaluation on simple math word problems shows that this CPAL chain generates less hallucination than the PAL chain on answering questions about a causal narrative. Two examples are in [this jupyter notebook](https://github.com/borisdev/langchain/blob/master/docs/extras/modules/chains/additional/cpal.ipynb) doc. ## 2. Future application ### "Describe as Narrative, Test as Code" The thesis here is that the Describe as Narrative, Test as Code approach allows you to represent a causal mental model both as code and as a narrative, giving you the best of both worlds. #### Why describe a causal mental mode as a narrative? The narrative form is quick. At a consensus building meeting, people use narratives to persuade others of their causal mental model, aka. plan. You can share, version control and index a narrative. #### Why test a causal mental model as a code? Code is testable, complex narratives are not. Though fast, narratives are problematic as their complexity increases. The problem is LLMs and humans are prone to hallucination when predicting the outcomes of a narrative. The cost of building a consensus around the validity of a narrative outcome grows as its narrative complexity increases. Code does not require tribal knowledge or social power to validate. Code is composable, complex narratives are not. The answer of one CPAL chain can be the hypothetical conditions of another CPAL Chain. For stochastic simulations, a composable plan can be integrated with the [DoWhy library](https://github.com/py-why/dowhy). Lastly, for the futuristic folk, a composable plan as code allows ordinary community folk to design a plan that can be integrated with a blockchain for funding. An explanation of a dependency planning application is [here.](https://github.com/borisdev/cpal-llm-chain-demo) --- Twitter handle: @boris_dev --------- Co-authored-by: Boris Dev <borisdev@Boriss-MacBook-Air.local>	1 year ago
Alejandra De Luna	2e4047e5e7	feat: support generate as an early stopping method for `OpenAIFunctionsAgent` (#7229 ) This PR proposes an implementation to support `generate` as an `early_stopping_method` for the new `OpenAIFunctionsAgent` class. The motivation behind is to facilitate the user to set a maximum number of actions the agent can take with `max_iterations` and force a final response with this new agent (as with the `Agent` class). The following changes were made: - The `OpenAIFunctionsAgent.return_stopped_response` method was overwritten to support `generate` as an `early_stopping_method` - A boolean `with_functions` parameter was added to the `OpenAIFunctionsAgent.plan` method This way the `OpenAIFunctionsAgent.return_stopped_response` method can call the `OpenAIFunctionsAgent.plan` method with `with_function=False` when the `early_stopping_method` is set to `generate`, making a call to the LLM with no functions and forcing a final response from the `"assistant"`. - Relevant maintainer: @hinthornw - Twitter handle: @aledelunap --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	4a94f56258	Minor edits to QA docs (#7507 ) Small clean-ups	1 year ago
Lance Martin	bd0c6381f5	Minor update to clarify map-reduce custom prompt usage (#7453 ) Update docs for map-reduce custom prompt usage	1 year ago
Lance Martin	28d2b213a4	Update landing page for "question answering over documents" (#7152 ) Improve documentation for a central use-case, qa / chat over documents. This will be merged as an update to `index.mdx` [here](https://python.langchain.com/docs/use_cases/question_answering/). Testing w/ local Docusaurus server: ``` From `docs` directory: mkdir _dist cp -r {docs_skeleton,snippets} _dist cp -r extras/* _dist/docs_skeleton/docs cd _dist/docs_skeleton yarn install yarn start ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Adilkhan Sarsen	5debd5043e	Added deeplake use case examples of the new features (#6528 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes # (issue) #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> 1. Added use cases of the new features 2. Done some code refactoring --------- Co-authored-by: Ivo Stranic <istranic@gmail.com>	1 year ago
Kazuki Maeda	92b4418c8c	Datadog logs loader (#7356 ) ### Description Created a Loader to get a list of specific logs from Datadog Logs. ### Dependencies `datadog_api_client` is required. ### Twitter handle [kzk_maeda](https://twitter.com/kzk_maeda) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Yifei Song	7d29bb2c02	Add Xorbits Dataframe as a Document Loader (#7319 ) - [Xorbits](https://doc.xorbits.io/en/latest/) is an open-source computing framework that makes it easy to scale data science and machine learning workloads in parallel. Xorbits can leverage multi cores or GPUs to accelerate computation on a single machine, or scale out up to thousands of machines to support processing terabytes of data. - This PR added support for the Xorbits document loader, which allows langchain to leverage Xorbits to parallelize and distribute the loading of data. - Dependencies: This change requires the Xorbits library to be installed in order to be used. `pip install xorbits` - Request for review: @rlancemartin, @eyurtsev - Twitter handle: https://twitter.com/Xorbitsio Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Paul-Emile Brotons	d2cf0d16b3	adding max_marginal_relevance_search method to MongoDBAtlasVectorSearch (#7310 ) Adding a maximal_marginal_relevance method to the MongoDBAtlasVectorSearch vectorstore enhances the user experience by providing more diverse search results Issue: #7304	1 year ago
Matt Robinson	bcab894f4e	feat: Add `UnstructuredTSVLoader` (#7367 ) ### Summary Adds an `UnstructuredTSVLoader` for TSV files. Also updates the doc strings for `UnstructuredCSV` and `UnstructuredExcel` loaders. ### Testing ```python from langchain.document_loaders.tsv import UnstructuredTSVLoader loader = UnstructuredTSVLoader( file_path="example_data/mlb_teams_2012.csv", mode="elements" ) docs = loader.load() ```	1 year ago
nikkie	dfc3f83b0f	docs(vectorstores/integrations/chroma): Fix loading and saving (#7437 ) - Description: Fix loading and saving code about Chroma - Issue: the issue #7436 - Dependencies: - - Twitter handle: https://twitter.com/ftnext	1 year ago
Daniel Chalef	c7f7788d0b	Add ZepMemory; improve ZepChatMessageHistory handling of metadata; Fix bugs (#7444 ) Hey @hwchase17 - This PR adds a `ZepMemory` class, improves handling of Zep's message metadata, and makes it easier for folks building custom chains to persist metadata alongside their chat history. We've had plenty confused users unfamiliar with ChatMessageHistory classes and how to wrap the `ZepChatMessageHistory` in a `ConversationBufferMemory`. So we've created the `ZepMemory` class as a light wrapper for `ZepChatMessageHistory`. Details: - add ZepMemory, modify notebook to demo use of ZepMemory - Modify summary to be SystemMessage - add metadata argument to add_message; add Zep metadata to Message.additional_kwargs - support passing in metadata	1 year ago
Saurabh Chaturvedi	8f8e8d701e	Fix info about YouTube (#7447 ) (Unintentionally mean 😅) nit: YouTube wasn't created by Google, this PR fixes the mention in docs.	1 year ago
Jeroen Van Goey	f5bd88757e	Fix typo (#7416 ) `quesitons` -> `questions`.	1 year ago
Nolan	5da9f9abcb	docs(agents/toolkits): Fix error in document_comparison_toolkit.ipynb (#7417 ) Replace this comment with: - Description: Removes unneeded output warning in documentation at https://python.langchain.com/docs/modules/agents/toolkits/document_comparison_toolkit - Issue: - - Dependencies: - - Tag maintainer: @baskaryan - Twitter handle: @finnless	1 year ago
nikkie	2eb4a2ceea	docs(retrievers/get-started): Fix broken state_of_the_union.txt link (#7399 ) Thank you for this awesome library. - Description: Fix broken link in documentation - Issue: - https://python.langchain.com/docs/modules/data_connection/retrievers/#get-started - the URL: https://github.com/hwchase17/langchain/blob/master/docs/modules/state_of_the_union.txt - I think the right one is https://github.com/hwchase17/langchain/blob/master/docs/extras/modules/state_of_the_union.txt - Dependencies: - - Tag maintainer: @baskaryan - Twitter handle: -	1 year ago
Delgermurun	a1603fccfb	integrate JinaChat (#6927 ) Integration with https://chat.jina.ai/api. It is OpenAI compatible API. - Twitter handle: [https://twitter.com/JinaAI_](https://twitter.com/JinaAI_) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Roger Yu	633b673b85	Update pinecone.ipynb (#7382 ) Fix typo	1 year ago
William FH	4789c99bc2	Add String Distance and Embedding Evaluators (#7123 ) Add a string evaluator and pairwise string evaluator implementation for: - Embedding distance - String distance Update docs	1 year ago
Bagatur	1ac347b4e3	update databerry-chaindesk redirect (#7378 )	1 year ago
Joshua Carroll	705d2f5b92	Update the API Reference link in Streamlit integration docs (#7377 ) This page: https://python.langchain.com/docs/modules/callbacks/integrations/streamlit Has a bad API Reference link currently. This PR fixes it to the correct link. Also updates the embedded app link to https://langchain-mrkl.streamlit.app/ (better name) which is hosted in langchain-ai/streamlit-agent repo	1 year ago
Georges Petrov	ec033ae277	Rename Databerry to Chaindesk (#7022 ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	7cdf97ba9b	Harrison/add to imports (#7370 ) pgvector cleanup	1 year ago
Bagatur	4d427b2397	Base language model docstrings (#7104 )	1 year ago
Alex Gamble	df746ad821	Add a callback handler for Context (https://getcontext.ai ) (#7151 ) ### Description Adding a callback handler for Context. Context is a product analytics platform for AI chat experiences to help you understand how users are interacting with your product. I've added the callback library + an example notebook showing its use. ### Dependencies Requires the user to install the `context-python` library. The library is lazily-loaded when the callback is instantiated. ### Announcing the feature We spoke with Harrison a few weeks ago about also doing a blog post announcing our integration, so will coordinate this with him. Our Twitter handle for the company is @getcontextai, and the founders are @_agamble and @HenrySG. Thanks in advance!	1 year ago
German Martin	3ce4e46c8c	The Fellowship of the Vectors: New Embeddings Filter using clustering. (#7015 ) Continuing with Tolkien inspired series of langchain tools. I bring to you: The Fellowship of the Vectors, AKA EmbeddingsClusteringFilter. This document filter uses embeddings to group vectors together into clusters, then allows you to pick an arbitrary number of documents vector based on proximity to the cluster centers. That's a representative sample of the cluster. The original idea is from [Greg Kamradt](https://github.com/gkamradt) from this video (Level4): https://www.youtube.com/watch?v=qaPMdcCqtWk&t=365s I added few tricks to make it a bit more versatile, so you can parametrize what to do with duplicate documents in case of cluster overlap: replace the duplicates with the next closest document or remove it. This allow you to use it as an special kind of redundant filter too. Additionally you can choose 2 diff orders: grouped by cluster or respecting the original retriever scores. In my use case I was using the docs grouped by cluster to run refine chains per cluster to generate summarization over a large corpus of documents. Let me know if you want to change anything! @rlancemartin, @eyurtsev, @hwchase17, --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Leonid Ganeline	b489466488	docs: `dependents` update 4 (#7360 ) Updated links and counters of the `dependents` page.	1 year ago
Bagatur	d1c7237034	openai fn update nb (#7352 )	1 year ago
Bagatur	1c8cff32f1	Generic OpenAI fn chain (#7270 ) Add loading functions for openai function chains and add docs page	1 year ago

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