ApeRAG

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ApeRAG is an AI Agents & Automation tool that provides a production-ready GraphRAG platform. It combines multi-modal indexing, AI agents, and scalable Kubernetes deployment for sophisticated AI applications.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is ApeRAG?

ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform designed for building sophisticated AI applications. It integrates Graph RAG, vector search, and full-text search with advanced AI agents. Key features include five comprehensive index types (Vector, Full-text, Graph, Summary, Vision) for multi-dimensional document understanding, intelligent AI agents with MCP tool support, and enhanced Graph RAG with entity normalization. The platform also offers complete multimodal document processing, a hybrid retrieval engine, and MinerU integration for advanced document parsing. ApeRAG provides enterprise-grade management features, full Kubernetes support with Helm charts, and KubeBlocks integration for simplified deployment of production databases.

Best used for

Ideal for developers and data scientists who need to build production-ready RAG applications, deploy intelligent AI agents, and process complex multi-modal documents. Especially valuable for creating knowledge graphs and context engineering with scalable Kubernetes deployment and enterprise-grade management.

Common actions

build RAG applications

deploy AI agents

process multi-modal data

manage knowledge graphs

scale AI solutions

collaborationautomated workflowlow-code/no-codeopen-sourcedeepfakegithub copilot"AI Agents"workflowsface swapping

Capabilities

Key features

Multi-modal indexing
AI agents
Graph RAG
Hybrid retrieval engine
Kubernetes deployment
Document parsing
Enterprise management

Target Audience

developerdata scientistproduct managerstartup founder

Integrations

kubernetesdockerdocker-composepostgresqlredisqdrantelasticsearchneo4j+ 1 more

Pricing & Plans

Open Source

Free

FAQs

What kind of retrieval methods does ApeRAG support?

ApeRAG supports a hybrid retrieval engine combining Graph RAG, vector search, full-text search, summary-based retrieval, and vision-based search. This allows for comprehensive understanding and retrieval across various document types and data structures.

How does ApeRAG handle complex document parsing?

ApeRAG integrates MinerU technology for advanced document parsing. This enables superior processing of complex documents, tables, formulas, and scientific content, including OCR-heavy inputs, with optional GPU acceleration for enhanced performance.

What is MCP support in ApeRAG?

ApeRAG fully supports the Model Context Protocol (MCP), allowing AI assistants to seamlessly integrate and interact directly with your knowledge base. This enables intelligent querying and direct access to information for enhanced AI agent capabilities.

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