ApeRAG RAG Platform

Example Use Cases

• 1

  Browse and explore knowledge collections and metadata via MCP to discover relevant document sets and graph entities.

• 2

  Perform hybrid search (vector, full-text, and graph-based retrieval) to gather contextual evidence for accurate answers.

• 3

  Multimodal document parsing and vision-enabled retrieval (images, tables, formulas) to reason over complex, non-textual content.

Description

ApeRAG is a production-ready RAG platform combining Graph RAG, vector search, full-text search, summary and vision indexes, and built-in AI agents. It offers advanced document parsing (optional MinerU integration), entity-normalized knowledge graphs, and hybrid retrieval to improve QA and reasoning over large knowledge bases. The project includes Kubernetes Helm charts for production deployment, enterprise features like audit logging and model management, and full MCP support so external AI assistants can browse collections and perform intelligent queries.