A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kernel — ready to use the moment data is written.
Derived from this repo's Cargo dependencies and activity — difficulty is an estimate from codebase size and scope.
Matched by dependency overlap in Cargo manifests — each card notes the most distinctive crates both projects share.
A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kernel — ready to use the moment data is written.
nucleic acid folding
High-performance, Rust-native LLM inference engine for Raspberry Pi and ARM64.
A HTML to Markdown (MD) converter balances conversion quality with runtime efficiency.
Fast multilingual text-to-phoneme converter for South East Asian languages.
A library for accessing LOOT's metadata and sorting functionality.
VelesDB is a local‑first AI data engine written in Rust that unifies vectors, full‑text and graph in a single file with a familiar SQL‑like language. Instead of sending every RAG or semantic search query to a remote cluster, VelesDB runs directly on your server, laptop, browser, mobile or edge device — no cloud dependency, no external services, ..
RaptorBT is a high-performance backtesting engine written in Rust with Python bindings via PyO3. It serves as a drop-in replacement for VectorBT, providing significant performance improvements while maintaining full metric parity.
CPU-only, pure-Rust implementation of LiquidAI's LFM2.5-8B-A1B