Chunking and Indexing for RAG: Size, Overlap, and Recall
How to set chunk size, overlap, and dual indexing (embedding + tsvector) to maximize recall in production RAG pipelines — with Python code and real tradeoffs.
Data engineering, AI and production systems — with technical references and code.
Bilingual articles (PT/EN) on RAG, LLM, and production AI pipelines. Each post includes book citations with page numbers and code examples grounded in those references.
How to set chunk size, overlap, and dual indexing (embedding + tsvector) to maximize recall in production RAG pipelines — with Python code and real tradeoffs.
How to combine vector search and keyword retrieval for precise technical context in production RAG pipelines.