Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.
Lightning-fast RAG for AI agents. Four-layer retrieval fusion powered by ONNX Runtime. No PyTorch. Sub-200ms warm search. Incremental graph updates. MCP-ready. Most RAG solutions either drag in 2GB+ of PyTorch or limit you to single-layer vector search. VelociRAG gives you four retrieval methods — vector similarity, BM25 keyword matching, knowledge graph traversal, and metadata filtering — fused…
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Lightning-fast RAG for AI agents. Four-layer retrieval fusion powered by ONNX Runtime. No PyTorch. Sub-200ms warm search. Incremental graph updates. MCP-ready. Most RAG solutions either drag in 2GB+ of PyTorch or limit you to single-layer vector search. VelociRAG gives you four retrieval methods — vector similarity, BM25 keyword matching, knowledge graph traversal, and metadata filtering — fused through reciprocal rank fusion with cross-encoder reranking. All running on ONNX Runtime, no GPU, no…
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