Build fast and accurate GenAI apps with GraphRAG SDK at scale.
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Updated
Jan 22, 2026 - Python
Build fast and accurate GenAI apps with GraphRAG SDK at scale.
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.
A tool to build a graph from a codebase
Flexible GraphRAG: Python, LlamaIndex, Docker Compose 8 Graph databases, 10 Vector databases, OpenSearch, Elasticsearch, Alfresco. 13 data sources, knowledge graph auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, MCP Server. Please 🌟 Star
FalkorDB Python Client
FalkorDB Typescript Client
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
FalkorDB-MCPServer is an MCP (Model Context Protocol) server that connects LLMs to FalkorDB
Embedded FalkorDB in a python module.
Java API for FalkorDB
A Golang client for FalkorDB
A remotely accessible Kubernetes home lab with OIDC authentication. Build a modern development environment with integrated data analytics and AI capabilities. Includes an open data stack for data ingestion, transformation, serving, and orchestration.
Transform your Obsidian vault into a powerful knowledge graph with MCP support
A Python utility for building FalkorDB databases from CSV inputs
Library that Extends FalkorDB with pure JavaScript and complex application logic.
A benchmarking tool to evaluate and compare the performance of graph databases with customizable workloads and metrics.
FalkorDB documentation pages
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