Open-source search and retrieval database for AI applications.

All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.

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!

HelixDB is an open-source graph-vector database built from scratch in Rust.

All-in-one platform for search, recommendations, RAG, and analytics offered via API

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

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.

Full-text and semantic search on any Postgres

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

Rust library for generating vector embeddings, reranking. Re-write of qdrant/fastembed.

Fast, streaming indexing, query, and agentic LLM applications in Rust

The all-in-one RWKV runtime box with embed, RAG, AI agents, and more.

Open source alternative to Perplexity AI with ability to run locally

🦀 Prevents outdated Rust code suggestions from AI assistants.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.

Semantic code searcher and codebase utility with AI memory onboard

Kheish: A multi-role LLM agent for tasks like code auditing, file searching, and more seamlessly leveraging RAG and extensible modules.

A document based RAG application

Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines