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Amazon Neptune, and Amazon Neptune Analytics support is working and checked int0 the Flexible GraphRAG github.
Graph Explorer is supported and working with these graph databases and is also checked in. It runs in a docker and can be used to query and visualize with both Amazon Neptune and Amazon Neptune Analytics.
Gremlin and openCypher can be used in Amazon Neptune with Graph Explorer, while openCypher is the primary language for Neptune Analytics. SPARQL is available for graph queries in the general Neptune database, SPARQL support for Graph Explorer is officially on the AWS development roadmap, but no firm timeline has been announced as of October 2025
Note that for Neptune Analytics, Flexible GraphRAG had to put in a wrapper class to filter out vector queries from its LamaIndex integration that were causing errors in Neptune Analytics. This wasn’t an issue with regular Neptune.
Flexible GraphRAG or Flexible RAG , an Apache 2.0 open source python platform, supports 8 graph databases, 10 vector databases, 3 search engines, and 13 data sources,. Supports knowledge graph auto-building, schemas, LlamaIndex LLMs, Docling doc processing (LlamaParse coming soon), GraphRAG mode, RAG only mode, Hybrid search, and AI query / chat. Has React, Vue, and Angular frontends, and a FastAPI backend. React, Vue, Angular, and Backend now work on Windows, Mac, Linux (standalone or in docker). Has a convenient docker compose that can include any of the databases (vector, graph, search, alfresco) and dashboards / consoles. There is also a Flexible GraphRAG MCP server.
Previous Flexible GraphRAG posts:
See Flexible GraphRAG Initial Version Blog Post
See New Tabbed UI for Flexible GraphRAG (and Flexible RAG)
See Flexible GraphRAG: Performance improvements, FalkorDB graph database support added
See Flexible GraphRAG: Supports ArcadeDB Graph Database with new LlamaIndex Integration
