RAG e sistemi di conoscenza
hkuds/lightrag
A lightweight, graph-based retrieval-augmented generation (RAG) framework that uses a dual-layer architecture combining knowledge graphs and vector embeddings to deliver efficient indexing, low-cost incremental updates, and high-quality contextual retrieval.
★ 38,4K⑂ 5,4KPython
MITQ98
RAG e sistemi di conoscenza
lancedb/lancedb
An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse designed for fast, scalable, and production-ready vector search, built on the Lance columnar format.
★ 11,1K⑂ 994Rust
Apache-2.0Q98
RAG e sistemi di conoscenza
modelscope/evalscope
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
★ 3,2K⑂ 440Python
Apache-2.0Q98
RAG e sistemi di conoscenza
stackitcloud/rag-template
A template for building AI chatbots and document management systems using Retrieval-Augmented Generation (RAG), vector search, and FastAPI, designed for deployment on Kubernetes.
★ 86⑂ 10Python
Apache-2.0Q89
RAG e sistemi di conoscenza
infino-ai/infino
Infino is a fast retrieval engine that executes SQL, full-text search, and vector search over a single copy of data stored natively as Parquet on object storage.
★ 67⑂ 18Rust
Apache-2.0Q89