Chat LangChain Docs We just published in depth documentation on how to customize all aspects of Chat LangChain, in Python AND JS/TS! See our new docs on Chat LC's core concepts, how to modify, run locally, deploy to production and more! With these docs being in both our
@langchain
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LangChain Python and JavaScript repositories released
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Python repo: https://
github.com/langchain-ai/c
hat-langchain
… JS/TS repo: https://
github.com/langchain-ai/c
hat-langchainjs
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Building RAG Applications with Python LangChain OpenAI
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Building a RAG application from scratch using Python, LangChain, and the OpenAI API Great resource from @svpino on building a RAG application from scratch. Not only does it cover coding – but it also covers the concepts as well! https://
youtube.com/watch?v=BrsocJ
b-fAo
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Groq: Ultra-Fast LLM Inference with LangChain Integration
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Groq: Insanely Fast Inference Speed matters! Groq can make your LLM chains and agents much faster than before. @mesudarshan explores how to utilize this new model with LangChain YouTube: https://
youtube.com/watch?v=RSzG_v
5XIxM
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RAG Arena: Compare Retrieval Augmented Generation Strategies
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RAG Arena There's so many RAG strategies out there – how do you decide which one is best? Run them in battle mode: the same question with 2 different strategies. Compare and vote for winner Awesome project by @mendableai
! Inspired by @lmsysorg http://
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Zapier Central: AI Bot Builder Now Available for Everyone
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Excited for our friends at @zapier on their Zapier Central release. Now everyone can have an AI bot builder!
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LangChain Updates: Data Extraction and Self-Corrective AI Assistant
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LangChain Release Notes, week of 3/4 Extraction Use Case – more support for extracting structured data from unstructured text Lots of open source LangGraph improvements releases: building a self-corrective coding assistant, loading documents with
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LangGraph Quality-of-Life Improvements for Agent Development
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LangGraph Updates 3 big quality-of-life improvements to LangGraph over the past few weeks: Automatic visualization of the created graph
Conditional entry points
Prebuilt Tool Calling Executor What do these mean? Automatic rendering of the created graph This was a -
New Extraction Guides for Structured Data from Unstructured Text
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New extraction guides Reliably extracting structured data from unstructured text is one of the killer use-cases for LLMs. It's a fantastic way to bridge the gap between LLMs and traditional APIs and systems. We've put a lot of work on this lately, including an open
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LangChain Course: Functions, Tools and Agents Now Available
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Check out our latest course with @DeepLearningAI on @coursera – Functions, Tools and Agents with LangChain. The landscape of LLMs and the libraries that support them has evolved rapidly in recent months. The course is designed to keep you ahead of these changes! You’ll