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    1. Home
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    3. EdgeQuake
    EdgeQuake icon

    EdgeQuake

    Knowledge Management

    Open-source Rust Graph-RAG framework that turns documents into knowledge graphs and answers queries with sources on PostgreSQL.

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    At a Glance

    Pricing
    Open Source

    Self-hosted EdgeQuake core released under the Apache License 2.0; users bear their own LLM provider and infrastructure costs.

    Engagement

    Available On

    Web
    API
    CLI
    SDK
    Linux

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Knowledge ManagementRetrieval-Augmented GenerationAI Development Libraries

    Alternatives

    post-graph-ragFlureeAutoFlow
    Developer
    ElitizonRoom 2203Est. 2020

    Listed Oct 2026

    About EdgeQuake

    EdgeQuake is an Apache 2.0 licensed Graph-RAG framework written in Rust, built by Elitizon and maintained in the raphaelmansuy/edgequake repository. It ingests PDFs, markdown, and raw text, extracts entities and relationships into a knowledge graph, and answers questions with sources. It implements the LightRAG algorithm and runs on PostgreSQL with pgvector and Apache AGE.

    What It Is

    EdgeQuake is a retrieval-augmented generation platform that goes beyond similarity search. Documents are chunked, an LLM extracts entities and relations, and the results are stored in pgvector (embeddings) and Apache AGE (graph). At query time it combines vector search with graph traversal and returns answers with sources.

    It ships as a web UI, REST API with Swagger, and a set of Rust crates (core, api, storage, pipeline, query, llm, pdf, graph) that can be adopted together or separately.

    Query Modes and Retrieval

    The README documents the modes naive, local, global, hybrid (default), mix, and bypass (direct LLM, no retrieval). Local targets specific entities and their neighbours, global targets themes and high-level questions, and mix blends vector and graph results weighted.

    Model and Provider Flexibility

    EdgeQuake is not tied to one vendor. It supports OpenAI, Anthropic, Gemini, and Mistral, as well as local options such as Ollama, LM Studio, oMLX, MLX-LM, llama.cpp, and vLLM-MLX, plus any OpenAI- or Anthropic-compatible gateway. Each workspace can assign different models to roles such as extract, query, keyword, summary, embedding, and vision. An edgequake doctor command and a provider test endpoint check what is reachable.

    Setup and Deployment

    A Docker quickstart script starts the stack, with the web UI on port 3000 and the API on 8080. Self-hosting on Docker, Kubernetes, or air-gapped environments is documented, along with multi-tenant workspace isolation, built-in auth, SSO via Keycloak/OIDC, audit logging, and a PDF vision pipeline for tables and complex layouts. Database migrations are run explicitly with edgequake migrate.

    Integrations and Benchmarks

    Official SDKs cover Python, TypeScript, Rust, Go, Java, Kotlin, C#, PHP, Ruby, and Swift, along with an MCP server, OpenWebUI, and LangChain integrations. In its own GraphRAG-Bench comparison, the README reports answer accuracy statistically tied with LightRAG and faster warm-cache queries, and notes LightRAG ahead on evidence recall.

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    Pricing

    OPEN SOURCE

    Open Source (Apache 2.0)

    Self-hosted EdgeQuake core released under the Apache License 2.0; users bear their own LLM provider and infrastructure costs.

    • Apache License 2.0, no license lock-in
    • Self-hosted via Docker, Kubernetes or from source
    • On-premise deployment, data stays on your network
    • Multi-tenant workspaces, REST API, MCP server and SDKs
    • Local LLM providers (Ollama, LM Studio) report $0.00 cost; cloud LLM provider usage is billed by the provider

    Capabilities

    Key Features

    • Knowledge graph extraction from PDFs, markdown, and text
    • Six retrieval modes: naive, local, global, hybrid, mix, bypass
    • PostgreSQL storage with pgvector and Apache AGE
    • PDF vision pipeline for tables, scans, and complex layouts
    • Multi-tenant workspace isolation
    • Built-in auth, SSO (Keycloak/OIDC), and audit logging
    • Per-workspace model roles and encrypted provider connections
    • REST API with OpenAPI, SSE streaming, and batch ingestion
    • Web UI for uploading documents and exploring the graph
    • MCP server
    • Explicit database migrations and doctor diagnostics
    • Multi-arch Docker images (amd64, arm64)

    Integrations

    OpenAI
    Anthropic
    Gemini
    Mistral
    Ollama
    LM Studio
    oMLX
    MLX-LM
    llama.cpp
    vLLM
    PostgreSQL
    pgvector
    Apache AGE
    MCP
    OpenWebUI
    LangChain
    Keycloak
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Elitizon

    Founded 2020
    28 Mody Road, Hong Kong SAR
    5 employees

    Used by

    The company says it serves Fortune 500…
    WebsiteGitHub
    1 tool in directory

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