Agentic RAG with LangGraph - Part 3/13

Learn how LangGraph implements agentic RAG with recursive character-based text splitting using LangChain's RecursiveCharacterTextSplitter. This tutorial covers document chunking, TikToken encoding, and balancing chunk size with overlap for semantic search pipelines.

#LangGraph #RAG #LangChain #Python #NLP #TextProcessing #AI #DocumentChunking

Zen Koan Explanation:
The code uses a retriever to perform semantic search on document chunks stored in a vector database, but if the query doesn't match any embedded content (due to poor chunking, irrelevant documents, or embedding limitations), it returns empty or meaningless results. This mirrors the koan's theme of "echoing voids"—where the system appears to function (devouring chunks precisely) yet fails to produce meaningful output when queried, highlighting the gap between mechanical processing and true understanding.

Source: https://docs.langchain.com/oss/python/langgraph/agentic-rag

Видео Agentic RAG with LangGraph - Part 3/13 канала TyrannoFlow