langchain

Commit Graph

Author	SHA1	Message	Date
Harrison Chase	8191c6b81a	Harrison/voice assistant (#3347 ) Co-authored-by: Jaden <jaden.lorenc@gmail.com>	1 year ago
Harrison Chase	5ef2d1e2a1	add to docs	1 year ago
Harrison Chase	2dbb5261b5	wikibase agent	1 year ago
Zander Chase	74342ab209	Update the marathon notebook (#3183 ) There were some steps that didn't make sense. Update now. This time it produced a nice markdown formatted table too	1 year ago
Harrison Chase	99b1983461	add example	1 year ago
Zander Chase	89c63cf8a6	Add Marathon Notebook (#3163 ) Add an example using autogpt to get the boston marathon winning times Add a web browser + summarization tool in the notebook	1 year ago
Quentin Pleplé	126d7f11dd	Fix notebook example (#3142 ) The following calls were throwing an exception: `575b717d10/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb`?short_path=4b3386c#L192 `575b717d10/docs/use_cases/evaluation/agent_vectordb_sota_pg.ipynb`?short_path=4b3386c#L239 Exception: ``` --------------------------------------------------------------------------- ValidationError Traceback (most recent call last) Cell In[14], line 1 ----> 1 chain_sota = RetrievalQA.from_chain_type(llm=OpenAI(temperature=0), chain_type="stuff", retriever=vectorstore_sota, input_key="question") File ~/github/langchain/venv/lib/python3.9/site-packages/langchain/chains/retrieval_qa/base.py:89, in BaseRetrievalQA.from_chain_type(cls, llm, chain_type, chain_type_kwargs, kwargs) 85 _chain_type_kwargs = chain_type_kwargs or {} 86 combine_documents_chain = load_qa_chain( 87 llm, chain_type=chain_type, _chain_type_kwargs 88 ) ---> 89 return cls(combine_documents_chain=combine_documents_chain, *kwargs) File ~/github/langchain/venv/lib/python3.9/site-packages/pydantic/main.py:341, in pydantic.main.BaseModel.__init__() ValidationError: 1 validation error for RetrievalQA retriever instance of BaseRetriever expected (type=type_error.arbitrary_type; expected_arbitrary_type=BaseRetriever) ``` The vectorstores had to be converted to retrievers: `vectorstore_sota.as_retriever()` and `vectorstore_pg.as_retriever()`. The PR also: - adds the file `paul_graham_essay.txt` referenced by this notebook - adds to gitignore .pkl and *.bin files that are generated by this notebook Interestingly enough, the performance of the prediction greatly increased (new version of langchain or ne version of OpenAI models since the last run of the notebook): from 19/33 correct to 28/33 correct!	1 year ago
Harrison Chase	b7dc04c086	fix links	1 year ago
Harrison Chase	364257d967	agent docs fixes (#3128 )	1 year ago
Zander Chase	f329196cf4	Agents 4 18 (#3122 ) Creating an experimental agents folder, containing BabyAGI, AutoGPT, and later, other examples --------- Co-authored-by: Rahul Behal <rahulbehal01@hotmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	aad0a498ac	Harrison/output error (#3094 ) Co-authored-by: yummydum <sumita@nowcast.co.jp>	1 year ago
Harrison Chase	eee2f23a79	Harrison/qa eg (#3052 ) Co-authored-by: Sukhpal Saini <bdcorps@users.noreply.github.com>	1 year ago
vowelparrot	2356447323	Update Characters notebook (#3019 ) - Most important - fixes the relevance_fn name in the notebook to align with the docs - Updates comments for the summary: <img width="787" alt="image" src="https://user-images.githubusercontent.com/130414180/232520616-2a99e8c3-a821-40c2-a0d5-3f3ea196c9bb.png"> - The new conversation is a bit better, still unfortunate they try to schedule a followup. - Rm the max dialogue turns argument to the conversation function	1 year ago
Harrison Chase	e54f1b69ca	add notebook	1 year ago
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

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66 Commits (e5ffbee5eb45db0e55706c3e106b4853787fa818)