Redis 8: QUERY ENGINE, VECTOR SEARCH, AND HYBRID AI APPLICATIONS: Build Caching, Session Management, and GenAI with JSON, Time Series, and Multi-Threa

By Hosea Leviton

Build fast, safe, and search powered systems on Redis 8, from caching and sessions to vector search and hybrid AI retrieval.

Many teams get Redis working in development, then hit problems under real traffic: cache stampedes, unsafe session invalidation, messy keyspaces, slow tail latency, and search results that do not match what users expect.

This book shows you how to design Redis 8 as an application platform, with clear schemas, predictable performance, production hardening, and a practical query layer that supports full text, aggregations, vectors, and hybrid retrieval for GenAI workflows.

set up Redis 8 projects with clean keyspace design, multi tenant isolation, and baseline smoke testsapply production security with authentication, ACL design, least privilege, and operational safety practicesharden transport and networks with TLS, timeouts, limits, and safe defaultschoose persistence strategy with RDB and AOF, then validate recovery behaviorunderstand Redis threading and configure IO threads with measurement driven tuningbenchmark correctly using throughput plus p95 and p99 latency across realistic load shapesimplement cache aside write through and write behind patterns with failure mode thinkingdesign TTL strategy with jitter, eviction policy selection, and memory protection controlsprevent stampedes with request coalescing locks and single flight patternsdefine consistency boundaries using invalidation versioned keys and negative cachingbuild session stores with rotation logout semantics multi device bindings and risk based revocationenforce rate limits with counters sliding windows and penaltiesmodel application state with Redis JSON using paths updates and concurrency expectationsdesign index friendly JSON layouts for stable querying and safer schema evolutioncreate and debug query engine indexes on hashes and JSON, then fix missing or stale search resultsship full text search with predictable relevance controls, typo tolerance, facets, and filtersbuild analytics with FT AGGREGATE pipelines, grouping reducers, and performance disciplinestore embeddings and tune vector search with recall and latency controls plus churn handlingimplement hybrid retrieval for RAG with fusion strategies and grounding filtersuse time series for metrics with retention, labels, multi series queries, and compaction rulesput it together into hybrid AI application architecture with semantic caching and safe operations

Working command and configuration examples are included throughout so you can reproduce benchmarks, validate behavior, and build real features without guessing.

Grab your copy today.

• Format: Paperback
• Language: English
• ISBN: B0GNSCYH2H
• ISBN13: 9798248654420
• Release Date: February 2026
• Publisher: Independently Published
• Length: 294 Pages
• Weight: 1.13 lbs.
• Dimensions: 0.6" x 7.0" x 10.0"