FalkorDB GraphRAG SDK

What it does

GraphRAG-SDK is an open-source toolkit for building Graph Retrieval-Augmented Generation systems. It takes structured and unstructured inputs, including PDF, CSV, HTML, TXT, JSON files and URLs, and uses generative AI to detect ontologies and construct knowledge graphs. Developers can review and modify detected ontologies, then use the resulting graph to ground LLM answers in connected context.

People use it for ontology-driven knowledge graph construction, multi-agent RAG orchestration, and graph-based analysis. The page cites use cases such as regulatory compliance mapping, AML network analysis and financial product recommendation. It is built on the FalkorDB graph database, which the page describes as supporting multi-tenant graphs and OpenCypher queries.

It suits technical teams building GraphRAG or agent memory systems who are comfortable with developer setup. Setup runs through the GitHub repository, docs, or a FalkorDB instance deployed via cloud or Docker. Paid FalkorDB cloud tiers add TLS, clustering and high availability. The page does not confirm SDK licensing terms or a standalone SDK price, so cost should be verified before adoption.

What it can do

• Ontology discovery from datasets using generative AI, with review and modification of detected ontologies
• Knowledge graph construction through an ETL process over PDF, CSV, HTML, TXT, JSON and URLs
• Multi-agent orchestration for coordinating specialized knowledge graph agents
• Graph-grounded GraphRAG retrieval for LLM answers
• Long-term agentic memory that stores relationships across sessions

Works with

• LangChain
• LlamaIndex
• Graphiti
• Mem0

Before you choose

• Built on FalkorDB; the SDK's pricing and licensing terms are not separately confirmed on the source pages
• Paid FalkorDB cloud tiers add TLS, clustering and high availability; the free tier is for building an MVP
• The page's compliance and AML use cases are illustrative and do not establish regulatory suitability

Listed under

• Coding

Get started

Start via the GraphRAG-SDK GitHub repository or the FalkorDB quickstart documentation.

1. Review the FalkorDB quickstart and run FalkorDB locally with Docker or deploy via cloud infrastructure
2. Clone or install the GraphRAG-SDK from the GitHub repository
3. Ingest your PDF, CSV, HTML, TXT, JSON or URL data and run ontology detection, then review and refine the ontology

STARTUP is shown as 'From $73/1GB/Month' and PRO as 'From $350/8GB/Month'; billing basis (monthly vs annual) is not fully explicit. ENTERPRISE is custom-priced via sales.

Source: falkordb.com/plans, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Get GraphRAG Right With FalkorDB's GraphRAG-SDK ↗www.falkordb.com
• FalkorDB Pricing: Free Tier to Enterprise Graph Database ↗www.falkordb.com
• FalkorDB: Open Source Graph Database for AI Agents & GraphRAG ↗www.falkordb.com

Company website

falkordb.com: product, pricing and policy pages

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

manual_review

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.