Tangerine Index lists products launched since ChatGPT and people's reactions to them.
neo4j-graphrag-python
github.com
Neo4j GraphRAG for Python
Open source
Reactions (1)
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graphrag-rs
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration
GraphRAG-Local-UI
Microsoft’s GraphRAG on local models (Ollama, LM Studio), with an API and apps for indexing, prompt tuning, query and graph visualization.
We have built a benchmark platform for graph databases
Performance benchmark compares Neo4j and Memgraph across a number of categories important for graph analytics in real time: latency, throughput and memory usage.
Live Demo of GraphRAG with GPT-4o mini
However, a common critique is the LLM costs for constructing the knowledge graph.
GraphRAG4OpenWebUI
GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and search engines. This tool simplifies graph-based retrieval integration in open web environments.