17 docs tagged with "redis"

System design criteria for selecting vector search versus lexical, exact-match, or relational indexing architectures.

Enterprise multi-agent system architecture: orchestration with LlamaIndex, Amazon Bedrock foundation models, and Redis data fabric.

Deep-dive into filtering strategies in vector databases: solving recall collapse and achieving sub-millisecond multi-attribute retrieval.

System architecture combining dense semantic retrieval with sparse lexical BM25 matching using Reciprocal Rank Fusion (RRF).

Architecting persistent cross-session episodic and semantic memory in LangGraph state machines using Redis.

End-to-end applied RAG case study: transcribing YouTube videos, chunking with timestamps, and vector search in Redis.

Integrating Amazon Bedrock Titan embeddings with Redis vector search in production.

Ultra-low-latency real-time fraud detection pipeline using Redis as a feature store and Amazon SageMaker inference endpoints.

Architecting stateful LLM agents with short-term session continuity and durable long-term memory using Redis and LangGraph.

Comprehensive engineering deep-dive into production Retrieval-Augmented Generation architectures, hallucination mitigation, and ingestion pipelines.

Thread-scoped session checkpointing, message window management, and state recovery in LangGraph using Redis.

Sub-millisecond semantic caching for generative AI applications with Redis LangCache.

Architecting conversational voice assistants that retain user context and facts across disparate voice sessions using Redis.

Rigorous benchmarking methodology for vector engines: analyzing QPS, P95/P99 latency, Recall@K curves, and concurrency stress testing.

System internals of vector databases: indexing high-dimensional embeddings, coordinating metadata payloads, and managing CRUD lifecycles.

System design of semantic caching architectures for LLMs: similarity thresholds, TTL policies, and cost reduction.

Architectural review of vector engines: in-memory vs disk, graph traversal, and real-time indexing guarantees.