A new supervised cross-modal hashing method called SEGRH converts label co-occurrence into continuous semantic association ...
Chunking divides source material into retrievable units whose boundaries and metadata strongly influence what evidence a RAG ...
Sub-millisecond hybrid search (dense + sparse), a from-scratch HNSW index, BM25 lexical ranking, reciprocal-rank fusion, feature re-ranking and a complete retrieval-augmented-generation pipeline — all ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, ...