#Retrieval

Retrieval systems find relevant documents from large corpora to support generation or analysis. Posts cover HyDE hypothetical document embedding, self-RAG reflection, CRAG corrective retrieval, and the retrieval patterns that improve answer quality in RAG-powered applications.

3 posts tagged with retrieval. ← All posts

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Pratik Dhanave · ·6 min read

Advanced Memory: Threads, Keyword Retrieval, and Lossy Summarization

Lesson 4 of Harness Engineering in Go — three collaborating stores (a thread, a knowledge index, and a summarizer) behind interfaces, and an honest accounting of where each local stand-in leaks.

Lesson 4: memory is three stores, not one — an append-only thread, a keyword knowledge index, and a lossy first-and-last summarizer — and an honest account of where each local stand-in leaks against Azure.

#Harness Engineering#Go#AI Agents#Retrieval#Azure#Engineering Practices#Backend Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.