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Redis for AI: System Design & RAG Architecture

Production Technical Documentation & Study Notes for RAG, Vector Search, and AI Agent Memory

RAG & Vector Search

Deep-dive into HNSW graph algorithms, single-stage filtered search, hybrid BM25 + dense retrieval, and sub-millisecond similarity queries.

AI Agent Memory Architectures

Master stateful conversational architectures with LangGraph, separating transient session memory from durable cross-session user profiles.

Production Enterprise Scale

End-to-end architectures utilizing Redis LangCache, AWS Bedrock foundation models, LlamaIndex multi-agent workflows, and real-time ML feature stores.