James Briggs
Vector Search Specialist
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by James Briggs. Every entry undergoes editorial source verification.
Vector Search and RAG Engineering Repositories
Maintains open-source code repositories with over 10,000 stars containing complete implementations of vector indexes, metadata filtering, and chunking evaluation benchmarks.
Vector similarity degrades on exact keyword search (e.g. part numbers, hashes) without hybrid sparse weighting.
Advanced RAG: Hybrid Search, Reranking, and Context Precision
Authored technical video investigation comparing dense vector embeddings versus reciprocal rank fusion (RRF) with BM25 sparse vectors, demonstrating 28% improvement in Mean Reciprocal Rank (MRR).
Two-stage retrieval pipelines introduce 100-250ms of additional network latency for the reranking stage.