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The simplest, most accurate GraphRAG framework built on FalkorDB
The main features of falkordb/graphrag-sdk are: GraphRAG Frameworks.
Open-source alternatives to falkordb/graphrag-sdk include: memgraph/memgraph — Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management.… chensycn/agentic-rag — LogicRAG enables structured retrieval without building knowledge graphs on corpora. By constructing query logic… circlemind-ai/fast-graphrag — Fast-GraphRAG is a system for generating and querying knowledge graphs from domain data. It uses a GraphRAG retrieval… getzep/graphiti — Graphiti is a backend framework and memory server designed to provide artificial intelligence agents with persistent,… gusye1234/nano-graphrag — nano-graphrag is a retrieval system that uses knowledge graphs to provide structured context for large language model… bibinprathap/veritasgraph — VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware…
Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
LogicRAG enables structured retrieval without building knowledge graphs on corpora. By constructing query logic dependency graphs to guide structured retrieval adaptively, it enables test-time scaling of graphRAG on large/dynamic knowledge bases. This work has been accepted to AAAI'26, with…
Fast-GraphRAG is a system for generating and querying knowledge graphs from domain data. It uses a GraphRAG retrieval workflow to traverse structured data and isolate precise evidence for answering complex questions. The project utilizes an agent-driven retrieval framework to coordinate the querying of knowledge graphs and the synthesis of final answers. It supports incremental data synchronization, allowing structured knowledge bases to be updated in real time as source information evolves. The system integrates with API-compatible language models and embedding providers to power its data p
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.