GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration
Turn any collection of documents into a knowledge graph. Extract entities and relationships via LLM, deduplicate with your approval. Map domains, find hidden connections, spot patterns across documents — knowledge that persists and compounds, for you and your AI agents. All from the CLI.
Local natural-language-to-shell command generator. A 941 MB fine-tuned Qwen2.5-Coder-1.5B running on CPU in ~1s. - GitHub - ThorOdinson246/whatisit-nl2sh: Local natural-language-to-shell command generator. A 941 MB fine-tuned Qwen2.5-Coder-1.5B running on CPU in ~1s.
Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend.