AI Agent Skills

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Doc…

Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build tim…

A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a gro…

Design, index, query, and tune Lance datasets and LanceDB tables for ML and AI workloads. Use for vector index selection such as IVF_PQ or IVF_HNSW_FLAT, ANN recall and…

Guides day-to-day operation of vector databases — index configuration, sharding/replication for scale and availability, and upsert/query performance tuning — with concre…

Vector search with SurrealDB using HNSW indexes, KNN queries, and similarity scoring. Use when creating vector indexes, querying vectors with KNN distance operators, bui…