ApeRAG

title: ApeRAG slug: aperag logo: https://avatars.githubusercontent.com/u/106655978 url: https://github.com/apecloud/ApeRAG images:

• https://opengraph.githubassets.com/1/apecloud/ApeRAG category: ai-integration-mcp-servers brand: apecloud featured: false tags:
• rag
• vector-database
• semantic-search

Overview

ApeRAG is an open-source, production-ready retrieval‑augmented generation (RAG) platform from ApeCloud. It combines Graph RAG, vector search, and full‑text search, and can be used as a Model Context Protocol (MCP) server to build RAG systems over heterogeneous knowledge sources. It is designed for scalable deployment, including Kubernetes environments.

Features

• RAG Platform

  • End-to-end framework for building retrieval‑augmented generation applications.
  • Supports heterogeneous knowledge sources.

• Graph RAG

  • Graph-based retrieval for reasoning over relationships in data.
  • Suited for complex, interconnected knowledge graphs.

• Multi-modal Indexing

  • Indexes multiple content types (e.g., text and other modalities) for unified retrieval.

• Search Capabilities

  • Vector search for semantic retrieval.
  • Full-text search to support keyword-based queries.
  • Combines different retrieval strategies in one system.

• MCP Server Support

  • Usable as a Model Context Protocol (MCP) server.
  • Integrates with MCP-compatible tools and agents for retrieval and augmentation.

• AI Agents Integration

  • Built-in support for AI agents to orchestrate retrieval and generation.

• Scalable Deployment

  • Designed for production usage.
  • Kubernetes (K8s) deployment support for scaling and orchestration.

• Open Source

  • Licensed under the Apache-2.0 license.
  • Repository structure includes configuration, deployment, docs, models, tests, and web UI components.

Pricing

ApeRAG is an open-source project licensed under Apache-2.0. No paid pricing plans are specified in the provided content.