“RAG”

Open-source RAG engine with document ingestion, hybrid search and visual agent workflows.

Python framework for live data processing and RAG pipelines that run on a Rust engine.

Simple and fast retrieval-augmented generation library with several chunking strategies and storage backends.

Microsoft Research pipeline that builds knowledge graphs from text to improve LLM question answering.

Context engine that indexes, retrieves and extracts entities from documents for agents.

Context layer for AI agents that ingests content and serves search, knowledge graphs and cited answers.

Database for unstructured and multimodal data that powers AI apps and agents, with MCP support.

Open-source document intelligence API that converts PDFs, Office files and images into RAG-ready chunks.

Context layer for building AI agents that reason over technical documents and institutional knowledge.

Enterprise AI platform for managed, grounded agents that answer from your data with citations.