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

Name: Redis 8: QUERY ENGINE, VECTOR SEARCH, AND HYBRID AI APPLICATIONS: Build Caching, Session Management, and GenAI with JSON, Time Series, and Multi-Threa
Brand: Independently Published
SKU: 9798248654420
Price: 3710.0 INR
Availability: OutOfStock

by Hosea Leviton

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ISBN13: 9798248654420
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: February 16, 2026
Pages: 294
Original Price: USD 35.5
Language: English
Edition: N/A
Item Weight: 513 grams
BISAC Subject(s): Data Science / Data Modeling & Design

About The Book

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 tests
apply production security with authentication, ACL design, least privilege, and operational safety practices
harden transport and networks with TLS, timeouts, limits, and safe defaults
choose persistence strategy with RDB and AOF, then validate recovery behavior
understand Redis threading and configure IO threads with measurement driven tuning
benchmark correctly using throughput plus p95 and p99 latency across realistic load shapes
implement cache aside write through and write behind patterns with failure mode thinking
design TTL strategy with jitter, eviction policy selection, and memory protection controls
prevent stampedes with request coalescing locks and single flight patterns
define consistency boundaries using invalidation versioned keys and negative caching
build session stores with rotation logout semantics multi device bindings and risk based revocation
enforce rate limits with counters sliding windows and penalties
model application state with Redis JSON using paths updates and concurrency expectations
design index friendly JSON layouts for stable querying and safer schema evolution
create and debug query engine indexes on hashes and JSON, then fix missing or stale search results
ship full text search with predictable relevance controls, typo tolerance, facets, and filters
build analytics with FT AGGREGATE pipelines, grouping reducers, and performance discipline
store embeddings and tune vector search with recall and latency controls plus churn handling
implement hybrid retrieval for RAG with fusion strategies and grounding filters
use time series for metrics with retention, labels, multi series queries, and compaction rules
put 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.

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