🔍In this video, we will discuss:
The limitations of current autonomous agents like, AutoGPT, BabyAGI, GPT Engineer, and Devin the Engineer.
Why these projects, while innovative, are not yet suitable for production usage.
The philosophical reasons behind the failure of fully autonomous agents.
How LangGraph, the latest framework from @LangChain is set to revolutionize the way we implement agents.
The concept of flow engineering and how it gives developers control while leveraging the power of LLMs.
🌟 Why LangGraph?
LangGraph offers an elegant solution for creating agentic architectures that are actually suitable for production. With its ability to scope and control the freedom of LLMs, LangGraph is poised to become a key player in 2024.
langchain-ai.g...
📚 Special Features:
GPT Researcher by Assaf Elovic: which leverages LangGraph to implement sophisticated and complex workflows
github.com/ass...
@LangChain & @MistralAIOfficial Cookbook for advanced RAG:
By Sophia Young and Lance Martin
Advanced techniques for retrieval-augmented generation (RAG) showcased in the LangChain Mistral cookbook.
Build advanced RAG architectures, including corrective RAG, adaptive RAG, and self-reflective RAG- all with LangGraph.
github.com/mis...
• Advance RAG control fl...
28 авг 2024
