Thanks to Sander Schulhoff (
https://
trigaten.github.io) we now have a citation file for the GitHub! https://
github.com/hwchase17/lang
chain/blob/master/CITATION.cff
…
@langchain
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LangChain now has official GitHub citation file
By
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LangChain Releases GitHub Release Notes Feature
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You may have noticed, we now have release notes on our GitHub page! https://
github.com/hwchase17/lang
chain/releases/tag/v0.0.66
… HUGE shoutout to Steven Hoelscher (
https://
github.com/shoelsch) for making this happen, was a much requested feature -
LangChain 0.0.66 Release: Bing Search and Qdrant Support
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Big end of week release! `pip install lanchain==0.0.66` New Features Bing Search Wrapper – @EnricoShippole
: https://
langchain.readthedocs.io/en/latest/modu
les/utils/examples/bing_search.html
… Support for @qdrant_engine – @LukawskiKacper
: https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/vectorstores.html#qdrant
… And lots of misc improvements and bug fixes… -
Map Reduce and similarity search improvements in AI framework
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Misc improvements/fixes:
Docs: @charles_irl , @grc_john Map Reduce prompt @vertinski Kwargs to similarity search – iocuydi
Ability to specify @pinecone ids – iocuydi
Custom caching example fix (h/t Andrew Peterson) -
Question Answering Chatbot Application for Podcasts
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The 🔥🔥🔥 applications keep on coming. Question answering chatbot with podcasts!!! https://t.co/2E4ernn6Gl
— LangChain (@LangChain) 20 janvier 2023The applications keep on coming. Question answering chatbot with podcasts!!!
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LLM Demos: Replit Starter and Google Calendar Integration
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Wanted to share two demos that we're really excited about! @Replit starter example by @alanaagoyal (makes it easy to get started on Replit) https://
x.com/alanaagoyal/st
atus/1615455535779971072?s=20&t=pXZn1k9HcmfcRAI-Yt0F9w
… GCal integration by @nickscamara_ – LLMs can now control your calendar -
Improved Documentation for Custom LangChain Agents
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Better documentation for understanding how custom agents work @samcwl added some much needed comments in both the documentation and the below notebook on the expected LLM output to get it to work with custom agents https://
langchain.readthedocs.io/en/latest/modu
les/agents/examples/custom_agent.html
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AI21Labs Experimental Models Now Available for Integration
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Also, highlighting one of the earlier points, its now possible to use some of the @AI21Labs experimental models! “`llm = AI21(maxTokens=10, model="j1-grande-instruct")“` Looking forward to playing around with this
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v0.0.65 Release: Documentation Fixes and AI Model Support
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v0.0.65 Doc Fixes – Francis, Chetanya Rastogi
Prompt improvements – @fpingham @brunotorious Support for @AI21Labs experimental models – xettrisomeman
Fix default @CohereAI embedding model – Sasmitha Manathunga Some doc improvements, listed -
FAISS Vectorstore Saving and Loading Guide
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Instructions for saving and loading FAISS vectorstore You just want to create your vectorstore once, and then pass it around. We added some easy documentation on how to do so. https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/vectorstores.html#saving-and-loading
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