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 Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.
db2vec: High-performance Rust CLI to parse database dumps (.sql, .surql), generate vector embeddings via Ollama, TEI, Gemini, and load into vector databases (Pinecone, Redis, Chroma, Milvus, Qdrant, SurrealDB). Optimized for speed on large datasets.
Dynamic Agent is a Rust-based framework for building Retrieval-Augmented Generation (RAG) AI agents with multi-LLM and multi-vector store support, featuring WebSocket communication, caching, and flexible configuration.
Unified Rust interface (VectorStore trait) for multiple vector databases, featuring auto-schema generation and easy integration for RAG systems.
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