A simple vector database in rust

A RAG (Retrieval-Augmented Generation) example project

DocuQuery: A private, local-first AI assistant that lets you upload documents and ask natural-language questions over them using Retrieval-Augmented Generation (RAG).

There is documents searcher project based on Rust and Opensearch technologies.

A project written in the Rust language with the goal of offline load of small LLM Model, specifically RAG (Retrieval Augmented Generation) on mobile devices.

A statically typed framework for working with LLMs

Rust API client library for Trieve

A modular Rust library for Retrieval-Augmented Generation (RAG) with Ollama integration.

Text-to-Vector embedding service (Rust, Tonic) (Q2:2025)

🎨 Visualize audio in your terminal with Chroma, a Rust-based ASCII art shader that offers GPU-accelerated effects and real-time configuration adjustments.

A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.

Rust CLI tool to interact with Ollama with Surreal DB Vector Database

Store all your LLM Interactions

A context database for AI agents. Multi-channel retrieval (semantic, lexical, structural) with MMR selection and token budget management. Built in Rust. Apache 2.0.

Lightweight AI assistant based on deep content understanding 深度理解内容的轻量级 AI 助手

Blazingly fast word embeddings with Tokenlearn

Simple Code Analysis MCP server, language agnostic with code indexing and search capabilities.

Knowledge graph agent for personal knowledge management

Retrieval-Augmented Generation Bot

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