langchain

Commit Graph

Author	SHA1	Message	Date
vowelparrot	99c0382209	Generative Characters (#2859 ) Add a time-weighted memory retriever and a notebook that approximates a Generative Agent from https://arxiv.org/pdf/2304.03442.pdf The "daily plan" components are removed for now since they are less useful without a virtual world, but the memory is an interesting component to build off. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Azam Iftikhar	1e655d5ffd	Fixed Regular expression (#2933 ) ### https://github.com/hwchase17/langchain/issues/2898 Instead of `"Action" and "Action Input"` keywords, we are getting `"Action 1" and "Action 1 Input" or "Action Input 1" ` from gpt-3.5-turbo Updated the Regular expression to handle all these cases Attaching the screenshot of the result from the updated Regular expression. <img width="1036" alt="Screenshot 2023-04-16 at 1 39 00 AM" src="https://user-images.githubusercontent.com/55012400/232251184-23ca6cc2-7229-411a-b6e1-53b2f5ec18a5.png">	1 year ago
vowelparrot	5ca7ce77cd	Remove pythonrepl from LLM-MathChain (#2943 ) Use numexpr evaluate instead of the python REPL to avoid malicious code injection. Tested against the (limited) math dataset and got the same score as before. For more permissive tools (like the REPL tool itself), other approaches ought to be provided (some combination of Sanitizer + Restricted python + unprivileged-docker + ...), but for a calculator tool, only mathematical expressions should be permitted. See https://github.com/hwchase17/langchain/issues/814	1 year ago
Nahin Khan	9a03f00e6c	Fix typos (#2977 )	1 year ago
Davit Buniatyan	b3a5b51728	[minor] Deep Lake auth improvements in docs, kwargs pass, faster tests (#2927 ) Minor cosmetic changes - Activeloop environment cred authentication in notebooks with `getpass.getpass` (instead of CLI which not always works) - much faster tests with Deep Lake pytest mode on - Deep Lake kwargs pass Notes - I put pytest environment creds inside `vectorstores/conftest.py`, but feel free to suggest a better location. For context, if I put in `test_deeplake.py`, `ruff` doesn't let me to set them before import deeplake --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai>	1 year ago
Harrison Chase	c4ae8c1d24	bump ver to 140 (#2895 )	1 year ago
ecneladis	1a44b71ddf	Fix Baby AGI notebooks (#2882 ) - fix broken notebook cell in `ae485b623d` - Python Black formatting	1 year ago
leo-gan	ecc1a0c051	added code-analysis-deeplake.ipynb (#2844 ) This notebook is heavily copied from the `twitter-the-algorithm-analysis-deeplake.ipynb`	1 year ago
Tim Asp	53dc157145	[Docs] minor fixes to loaders links and rst warnings (#2846 ) The doc loaders index was picking up a bunch of subheadings because I mistakenly made the MD titles H1s. Fixed that. also the easy minor warnings from docs_build	1 year ago
Harrison Chase	425c437cd3	cr	1 year ago
Harrison Chase	b92a89e29f	cr	1 year ago
vowelparrot	94a92abf24	Add Retrieval Example for AI Plugins (#2737 ) This PR proposes - An NLAToolkit method to instantiate from an AI Plugin URL - A notebook that shows how to use that alongside an example of using a Retriever object to lookup specs and route queries to them on the fly --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	66786b0f0f	cr	1 year ago
Harrison Chase	948b14b52a	agents docs and version bump (#2717 )	1 year ago
Guohao Li	bb5118f4c9	Add notebook example for camel role playing (#2689 ) This PR adds a LangChain implementation of CAMEL role-playing example: https://github.com/lightaime/camel. I am sorry that I am not that familiar with LangChain. So I only implement it in a naive way. There may be a better way to implement it.	1 year ago
Harrison Chase	d3f779d61d	baby agi agent (#2648 ) Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	1 year ago
Harrison Chase	e63f9a846b	Harrison/docs agents (#2647 )	1 year ago
Harrison Chase	7aba18ea77	Harrison/docs cleanup (#2633 )	1 year ago
Davit Buniatyan	aaac7071a3	Deep Lake retriever example analyzing Twitter the-algorithm source code (#2602 ) Improvements to Deep Lake Vector Store - much faster view loading of embeddings after filters with `fetch_chunks=True` - 2x faster ingestion - use np.float32 for embeddings to save 2x storage, LZ4 compression for text and metadata storage (saves up to 4x storage for text data) - user defined functions as filters Docs - Added retriever full example for analyzing twitter the-algorithm source code with GPT4 - Added a use case for code analysis (please let us know your thoughts how we can improve it) --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai>	1 year ago
Tommertom	0f5d3b3390	Typo docs - Update data_augmented_question_answering.ipynb propriterary-> proprietary (#2626 ) Minor typo propritary -> proprietary	1 year ago
Venky	7a4e1b72a8	Fix docs links (#2572 ) Fix broken links in documentation.	1 year ago
Harrison Chase	247a88f2f9	Harrison/move eval (#2533 )	1 year ago
SangamSwadiK	8cded3fdad	fix typo (#2532 ) 1) Any breaking changes ? None 2) What does this do ? Fix typo in QA eval cc @hwchase17	1 year ago
Vashisht Madhavan	aa439ac2ff	Adding an in-context QA evaluation chain + chain of thought reasoning chain for improved accuracy (#2444 ) Right now, eval chains require an answer for every question. It's cumbersome to collect this ground truth so getting around this issue with 2 things: * Adding a context param in `ContextQAEvalChain` and simply evaluating if the question is answered accurately from context * Adding chain of though explanation prompting to improve the accuracy of this w/o GT. This also gets to feature parity with openai/evals which has the same contextual eval w/o GT. TODO in follow-up: * Better prompt inheritance. No need for seperate prompt for CoT reasoning. How can we merge them together --------- Co-authored-by: Vashisht Madhavan <vashishtmadhavan@Vashs-MacBook-Pro.local>	1 year ago
Tim Ellison	6f47133d8a	Minor doc typo (#2492 )	1 year ago
Harrison Chase	c7b083ab56	bump version to 131 (#2391 )	1 year ago
Shrined	10dab053b4	Add Enum for agent types (#2321 ) This pull request adds an enum class for the various types of agents used in the project, located in the `agent_types.py` file. Currently, the project is using hardcoded strings for the initialization of these agents, which can lead to errors and make the code harder to maintain. With the introduction of the new enums, the code will be more readable and less error-prone. The new enum members include: - ZERO_SHOT_REACT_DESCRIPTION - REACT_DOCSTORE - SELF_ASK_WITH_SEARCH - CONVERSATIONAL_REACT_DESCRIPTION - CHAT_ZERO_SHOT_REACT_DESCRIPTION - CHAT_CONVERSATIONAL_REACT_DESCRIPTION In this PR, I have also replaced the hardcoded strings with the appropriate enum members throughout the codebase, ensuring a smooth transition to the new approach.	1 year ago
James Olds	2d0ff1a06d	Update apis.md (#2278 )	1 year ago
Harrison Chase	a0cd6672aa	Harrison/site map (#2061 ) Co-authored-by: Tim Asp <707699+timothyasp@users.noreply.github.com>	2 years ago
Harrison Chase	bc2ed93b77	fix doc tags (#2019 )	2 years ago
Harrison Chase	705431aecc	big docs refactor (#1978 ) Co-authored-by: Ankush Gola <ankush.gola@gmail.com>	2 years ago
Harrison Chase	47d37db2d2	WIP: Harrison/base retriever (#1765 )	2 years ago
Harrison Chase	1f93c5cf69	extraction docs (#1898 )	2 years ago
DeadBranch	8fa1764c60	docs: update gpt index references to LlamaIndex (#1856 ) The GPT Index project is transitioning to the new project name, LlamaIndex. I've updated a few files referencing the old project name and repository URL to the current ones. From the [LlamaIndex repo](https://github.com/jerryjliu/llama_index): > NOTE: We are rebranding GPT Index as LlamaIndex! We will carry out this transition gradually. > > 2/25/2023: By default, our docs/notebooks/instructions now reference "LlamaIndex" instead of "GPT Index". > > 2/19/2023: By default, our docs/notebooks/instructions now use the llama-index package. However the gpt-index package still exists as a duplicate! > > 2/16/2023: We have a duplicate llama-index pip package. Simply replace all imports of gpt_index with llama_index if you choose to pip install llama-index. I'm not associated with LlamaIndex in any way. I just noticed the discrepancy when studying the lanchain documentation.	2 years ago
Harrison Chase	d5b4393bb2	Harrison/llm math (#1808 ) Co-authored-by: Vadym Barda <vadim.barda@gmail.com>	2 years ago
Harrison Chase	8685d53adc	querying tabular data (#1758 )	2 years ago
Harrison Chase	2d098e8869	Harrison/agent eval (#1620 ) Co-authored-by: jerwelborn <jeremy.welborn@gmail.com>	2 years ago
Graham Neubig	31303d0b11	Added other evaluation metrics for data-augmented QA (#1521 ) This PR adds additional evaluation metrics for data-augmented QA, resulting in a report like this at the end of the notebook: ![Screen Shot 2023-03-08 at 8 53 23 AM](https://user-images.githubusercontent.com/398875/223731199-8eb8e77f-5ff3-40a2-a23e-f3bede623344.png) The score calculation is based on the [Critique](https://docs.inspiredco.ai/critique/) toolkit, an API-based toolkit (like OpenAI) that has minimal dependencies, so it should be easy for people to run if they choose. The code could further be simplified by actually adding a chain that calls Critique directly, but that probably should be saved for another PR if necessary. Any comments or change requests are welcome!	2 years ago
Ikko Eltociear Ashimine	b8a7828d1f	Update huggingface_datasets.ipynb (#1417 ) HuggingFace -> Hugging Face	2 years ago
James Brotchie	3574418a40	Fix link in summarization.md (#1344 ) "Utilities for working with Documents" was linking to a non-useful page. Re-linked to the utils page that includes info about working with docs.	2 years ago
Harrison Chase	f61858163d	bump version to 0.0.95 (#1324 )	2 years ago
Harrison Chase	d90a287d8f	Harrison/updating docs (#1196 )	2 years ago
Harrison Chase	4f3fbd7267	improve docs for indexes (#1146 )	2 years ago
Harrison Chase	7fb33fca47	chroma docs (#1012 )	2 years ago
jeff	6a4f602156	docs: fix spelling typo (#934 )	2 years ago
Nicolas	91d7fd20ae	feat: add custom prompt for QAEvalChain chain (#610 ) I originally had only modified the `from_llm` to include the prompt but I realized that if the prompt keys used on the custom prompt didn't match the default prompt, it wouldn't work because of how `apply` works. So I made some changes to the evaluate method to check if the prompt is the default and if not, it will check if the input keys are the same as the prompt key and update the inputs appropriately. Let me know if there is a better way to do this. Also added the custom prompt to the QA eval notebook.	2 years ago
Nicolas	b7225fd010	docs: fix small typo (#611 )	2 years ago
Harrison Chase	956416c150	Harrison/update links1 (#594 ) update links to be relative Co-authored-by: Marc Green <marcgreen@users.noreply.github.com>	2 years ago
Harrison Chase	b06a2a6191	improve documentation on how to pass in custom prompts (#561 )	2 years ago
Harrison Chase	823a44ef80	bump to 0058 (#556 )	2 years ago
Harrison Chase	9753bccc71	Feature: linkcheck-action (#534 ) (#542 ) - Add support for local build and linkchecking of docs - Add GitHub Action to automatically check links before prior to publication - Minor reformat of Contributing readme - Fix existing broken links Co-authored-by: Hunter Gerlach <hunter@huntergerlach.com> Co-authored-by: Hunter Gerlach <HunterGerlach@users.noreply.github.com> Co-authored-by: Hunter Gerlach <hunter@huntergerlach.com>	2 years ago
Harrison Chase	985496f4be	Docs refactor (#480 ) Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>	2 years ago

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102 Commits (c1807d84086c92d1aea2eb7be181204e72ae10d0)