High-performance framework for building interactive multi-agent workflow systems in Rust

DF Embedder is a high-performance Python library (with a Rust backend) for indexing and embedding Apache Arrow compatible DataFrames (like Polars or Pandas) into low latency vector databases based …

A LangGraph-like framework built with Rust that demonstrates workflow orchestration for AI agents.

A Rust library for executing tasks in a Directed Acyclic Graph (DAG) with parallel execution support.

An example for a RAG agent based on LangGraph implemented as a REST service

static_embed is an educational (but fully operatioal) library and and repository that shows how to use Static Embedding with Rust.

Redis-protocol compatible caching layer that turns any database into a high-performance cache

A simple, fast, thread-safe and lock-free implementation of LRU (Least Recently Used) caching in Rust

A Practical Guide to Building Simple, Lightweight, and Task-Specific AI Services with Rust, Unsloth, and Llama.cpp

A high-performance RAG indexing pipeline implemented in Rust using LanceDB and Candle

A GraphQL query service, implemented using Axum and Data Fusion, serving query requests over parquet files in a data lake table.

Practical guide to implementing a vector embedding and search REST service using the Candle framework and Axum in Rust.