Flexible GraphRAG

Langflow pipeline mode — a SharePoint auto-sync data source (MS Graph delta query) ingesting and targeting Qdrant vector, Elasticsearch, Neo4j, and Graphwise Ontotext GraphDB, with ontology-mode, AI chat drawing context from all four.

Can use 1 of 3 ingest pipelines with same configured data sources and database targets, with same UI and same REST / MCP APIs

Flexible GraphRAG is an open source AI context platform supporting a document processing pipeline (Docling, LlamaParse, or LiteParse), knowledge graph auto-building, ontologies, schemas, many LLM providers, GraphRAG and RAG, hybrid semantic search (fulltext, vector, property graph, RDF/SPARQL), AI query, and AI chat. The backend is Python with LlamaIndex and LangChain as peer frameworks. LlamaIndex is the default for each pipeline stage; LangChain can be selected per stage in environment configuration. The API is a REST FastAPI service. Angular, React, and Vue TypeScript frontends and an MCP server are included. The stack supports 14 data sources (10 with incremental auto-sync), 15 property graph databases, 4 RDF triple stores (Apache Jena Fuseki, Ontotext GraphDB, Oxigraph, Amazon Neptune RDF), 10 vector databases, OpenSearch / Elasticsearch / BM25 search, Alfresco, and Nuxeo. Databases and dashboards can be enabled with the provided Docker Compose layout. Optionally, the ingest pipeline, hybrid search, and AI query can run through customizable Langflow visual flows (12 custom Langflow components). As a further option, ingest can run on a CocoIndex (Rust engine) pipeline that reuses the same sources, targets, parsers and KG extractors, adding step-level memoization and automatic delete reconciliation.

New 10/10/26 — v0.8.4 release: Hybrid search results (graph and RDF too) and AI query / AI chat answers now name the documents they came from, as links: Alfresco documents open in the Alfresco Content App viewer over their folder (or Share), Nuxeo in its Web UI, web pages and Wikipedia at their URL, and YouTube at the transcript segment's time. In KG Spaces, closing ACA's viewer returns to your search results and chat. KG Spaces hybrid search returns full results again, and ArcadeDB moves to 26.10.1.

New 10/8/26 — v0.8.3 release: The Processing tab now has per-row Search+Vector, Graphs and Auto Sync checkbox columns (Alfresco, Nuxeo and file uploads initially), so in addition to ingest, can toggle having vector+search, graphs, and auto sync, row by row, Jobs sub-tab and Run in background. KG Spaces adds Ask KG Spaces about this document / folder (then ask in AI chat). Hybrid search, AI query, and AI chat, return only from documents the signed-in Alfresco user may read.