Open-source search and retrieval database for AI applications.
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Updated
Nov 12, 2025 - Rust
Open-source search and retrieval database for AI applications.
Postgres with GPUs for ML/AI apps.
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!
All-in-one platform for search, recommendations, RAG, and analytics offered via API
HelixDB is an open-source graph-vector database built from scratch in Rust.
Rust library for generating vector embeddings, reranking. Re-write of qdrant/fastembed.
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀
The all-in-one RWKV runtime box with embed, RAG, AI agents, and more.
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
A document based RAG application
A RAG API server written in Rust following OpenAI specs
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