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RAG & Knowledge Systems

Find retrieval-augmented generation and knowledge systems for grounding AI applications in source data. Compare official resources, requirements and limitations.

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RAG & Knowledge Systems projects

R Raglight Raglight is a lightweight, modular Python framework for building Retrieval-Augmented Generation systems with configurable language models, embedding providers, vector stores and MCP-connected external tools and data sources.

L Llmware Llmware is an open-source Python framework for building enterprise retrieval-augmented-generation pipelines with local, private models and document knowledge bases.

C Chroma Chroma is open-source AI search infrastructure and a client-server database for storing documents, embeddings, metadata and identifiers, then querying similar results with optional metadata or document filters.

U Unstructured Unstructured is an Apache-2.0 open-source document-processing library and ETL solution that converts complex files and images into structured data for language-model, retrieval and downstream data workflows.

Q Qdrant Qdrant is an open-source Rust vector database and similarity-search engine that stores vectors with associated payloads and provides an API for searching, filtering, and managing them.

Gemini Notebook App An iOS application for creating notebooks from PDFs, websites, YouTube videos and text, then asking source-grounded questions and generating cited answers, summaries, connections and podcast-style audio discussions.

M Minirag Minirag is an open-source Python retrieval-augmented generation framework that combines document retrieval with small language models. Its documented approach uses heterogeneous graph indexing and lightweight topology-enhanced retrieval.

E Edgequake Edgequake is a Rust framework for GraphRAG. It transforms documents into knowledge graphs that can support retrieval and generation.