4 docs tagged with "vector-db"

Architectural guide to text chunking strategies: fixed-size, recursive character, semantic chunking, and hierarchical parent-document retrieval.

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

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

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