Frameworks and tools for building retrieval-augmented generation pipelines—document parsing, chunking, indexing, and query engines that connect LLMs to your data.
14 tools compared · Layer 2 · Updated April 29, 2026
Ranked by community traction, recent activity, and popularity.
RAGFlow
Deep document understanding — tables, images, multi-language
RAGFlow is Infiniflow's open-source RAG engine that fuses retrieval-augmented generation with agent capabilities to create a superior context layer for LLMs. With 78,300+ GitHub stars, it's one of the leading RAG-focused projects on GitHub and is widely used for enterprise knowledge bases, compliance-heavy industries, and research assistants.
Unstructured
Ingests 65+ file formats: PDFs, DOCX, PPTX, HTML, images, emails
Unstructured is the leading data-ingestion and transformation platform for AI applications. The open-source library and hosted Serverless API can ingest, parse, and stage 65+ file formats — PDFs, Word docs, HTML, spreadsheets, emails, images, and more — into clean structured JSON or markdown ready for RAG pipelines and LLM fine-tuning.
