AI Infrastructure & MLOps Free

LightRAG

Open-source graph-enhanced retrieval for multimodal and changing knowledge bases

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PricingFree
Starting price$0
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentSelf Hosted
Last verifiedAugust 1, 2026
Overview

Tool overview

LightRAG is listed under AI Infrastructure & MLOps AI tools.

Summary

What is LightRAG?

LightRAG combines knowledge-graph relationships with vector retrieval, incremental indexing, multimodal parsing, configurable storage, a WebUI, and a REST API server for self-hosted RAG applications.

Best fit

Best for

Engineering teams building self-hosted graph RAG systems

Audience

Who is it for?

RAG developersAI engineersKnowledge-platform teamsResearchers
Recommendation

Decision note

Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.

Capabilities

Key features

Graph and vector hybrid retrieval

Incremental insert, update, and delete workflows

Multimodal parsing with MinerU and Docling

WebUI, REST API, Docker, and multiple storage backends

Workflows

Use cases

Build graph-enhanced RAG

Index changing enterprise knowledge

Process multimodal documents

Explore entities and relationships visually

Strengths

Pros

  • Free and MIT licensed
  • Self-hosted with broad storage choices
  • Active development and large community
Considerations

Limitations

Version 1.5.0rc3 is a release candidate

1.4.16 is used as the stable snapshot. Output quality depends on extraction, chunking, embeddings, and graph configuration.

Cost

Pricing details

Pricing modelFree
Starting price$0
Free planYes
Free trialYes
Pricing context

Billing options

Free open-source softwareBring your own infrastructure and models
Pricing context

Pricing note

LightRAG is free under MIT. Users pay for the models, storage, and infrastructure they connect.

View official pricing
Compatibility

Supported languages

  • English
  • Chinese
  • Korean
  • German
  • Ukrainian
  • Russian
  • Japanese
  • Vietnamese
Connectivity

Integrations

Ollama

OpenAI-compatible models

OpenSearch

Neo4j

PostgreSQL

MongoDB

Langfuse

RAGAS

MinerU

Docling

Specs

Technical details

PlatformsWeb, API
Multilingual supportYes
Login requiredNo
Open sourceYes
LicenseMIT
DeploymentSelf Hosted
CompanyHKU Data Intelligence Lab
Launch year2024
Current version1.4.16
Models / versionsStable 1.4.x pipeline 1.5 multimodal release candidate
Editions / plansPython package API server and WebUI Docker image
Data confidenceHigh
Last verifiedAugust 1, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

LightRAG combines knowledge-graph relationships with vector retrieval, incremental indexing, multimodal parsing, configurable storage, a WebUI, and a REST API server for self-hosted RAG applications.
Engineering teams building self-hosted graph RAG systems
The listed pricing model for LightRAG is Free. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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