GraphRAG SDK

GraphRAG SDK is the graph based retrieval toolkit built around FalkorDB, a graph database aimed at generative AI workloads. It pairs large language models with domain specific knowledge graphs so that retrieval is grounded in connected, traceable data rather than vector similarity alone, which the vendor presents as the way to reduce hallucinations in enterprise language model applications. It is aimed at developers building retrieval pipelines, agents and conversational applications that need to reason over relationships. The vendor describes working with both structured and unstructured data, automatic ontology detection, built in agent orchestration, natural language querying and retrieval logic that can be traced back to its sources. Underneath, FalkorDB is an open source, Redis based graph database built for multi tenancy, with thousands of separate graphs in a single deployment, linear scalability and low latency traversal. The same engine is used for agent memory and persistent conversation history, for combining graph traversal with vector search in recommendation systems, and for fraud ring detection and security graph analysis. Cloud pricing is published. A free tier covers multiple graphs, multi tenancy and graph access control with community support. Startup begins at $73 per 1GB per month and adds TLS and automated backups every twelve hours. Pro begins at $350 per 8GB per month and adds cluster deployment, high availability, multi zone deployment, scaling, continuous persistence and business hours support. Enterprise is tailored and adds VPC, advanced monitoring, custom backups, around the clock support and a dedicated account manager. The database itself is open source, so teams that prefer to run their own infrastructure can self host instead of using the managed cloud.