Get GraphRAG Right with Our SDK

A specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems, integrating knowledge graphs, ontology management, and LLMs to deliver accurate, efficient, and customizable RAG workflows.

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Remove the barrier of ontology creation

Transform raw data into structured knowledge models automatically.

Handle structured and unstructured data

Ingest diverse data formats through a streamlined ETL process

Use multi-agent Orchestration

Coordinate specialized agents for complex knowledge operations

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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SOLUTIONS

Simply ontology creation, knowledge graph creation, and agent orchestrator

Explainer

Explainer

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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Avi Tel-Or

CTO at Intel Ignite Tel-Aviv

I enjoy using FalkorDB in the GraphRAG solution I'm working on.

As a developer, using graphs also gives me better visibility into what the algorithm does, when it fails, and how it could be improved. Doing that with similarity scoring is much less intuitive.

Dec 2, 2024

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

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