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flexible-graphrag
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flexible-graphrag

Active·★ 131·Apache-2.0·Updated 2026-05-28
★ Trending★ RAG / Knowledge Base★ LLM Infra

Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please 🌟 Star

Flexible GraphRAG is an open-source platform that integrates document processing, automated knowledge graph construction, and hybrid search (full-text, vector, graph) with AI query and chat capabilities. It supports 13 data sources, multiple vector and graph databases, and offers automatic incremental updates to keep data synchronized in real-time.

#GraphRAG#Knowledge Graph#Hybrid Search#LLM#Document Processing#FastAPI#Docker#Data Ingestion
$ Install
$ cd flexible-graphrag && cp env-sample.txt .env && cd .. && cd docker && cp docker-env-sample.txt docker.env && docker-compose -f docker-compose.yaml -p flexible-graphrag up -d
↗ Visit site★ GitHub
01

Features

01Configurable Hybrid Search (vector, full-text, graph)
02Automated Knowledge Graph Construction for GraphRAG
03Multi-Source Document Ingestion from 13 different data sources
04Automatic Incremental Updates for real-time data synchronization
05Flexible and modular Docker deployment with multiple UI clients (Angular, React, Vue)
02

Compatibility

Python
Runtime
Verified via docs
Docker
Deployment
Verified via docs
FastAPI
Backend Framework
Verified via docs
LlamaIndex
RAG Framework
Verified via docs
Angular, React, Vue
UI Frameworks
Verified via docs
Vector Databases (e.g., Qdrant, Milvus, PostgreSQL, Neo4j, Elasticsearch)
Vector Databases
Verified via docs
03

Quick start

1
$ cd flexible-graphrag
2
$ cp env-sample.txt .env
3
$ cd ..
4
$ cd docker
5
$ cp docker-env-sample.txt docker.env
6
$ docker-compose -f docker-compose.yaml -p flexible-graphrag up -d
04

Use cases

↳Advanced Information Retrieval and Q&A over diverse document sets
↳Automated Knowledge Management and Graph-powered insights from unstructured data
↳Real-time Synchronization of Knowledge Bases with frequently updating data sources
↳Building Conversational AI and Chatbots that can interact with enterprise content
↳Unified Document Processing and Search across cloud storage and enterprise repositories
05

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Related searches

flexible-graphrag AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Baseflexible-graphrag Tutorialflexible-graphrag Vs CompetitorsGraphRAGKnowledge GraphHybrid Search

Comments

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  • S
    Skyler GarciaMay 22, 2026

    Flexible GraphRAG with 8 graph databases and 10 vector DB options is remarkable breadth.

  • J
    Jordan PatelApr 10, 2026

    Good for teams evaluating different graph and vector database combinations for RAG.

  • P
    Peyton MartinezMar 12, 2026

    Docker Compose deployment makes the full stack easy to stand up for testing.

  • O
    Oakley ClarkMar 1, 2026

    LlamaIndex foundation means it integrates with the broader Python AI ecosystem.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 131
Last commit2d ago
StatusActive
LicenseApache-2.0
CategoryRAG / Knowledge Base
Trend (30d)
+5.2↑ 0.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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