A redone KG Spaces (Flexible GraphRAG) for the Alfresco Content App (ACA) 8.0.0 is now available

Flexible GraphRAG on GitHub

X.com Steve Reiner @stevereiner  LinkedIn Steve Reiner LinkedIn Posts

Repost of my LinkedIn post from October 3, 2026 (original LinkedIn post)

A redone KG Spaces (Flexible GraphRAG) for the Alfresco Content App (ACA) 8.0.0 is now available.
kg-spaces-aca Github: https://github.com/stevereiner/kg-spaces-aca

Knowledge graphs auto-generated from your documents, alongside vector and fulltext indexes, provide the context for hybrid search, AI query and AI chat. It works over Alfresco content and other data sources, right inside ACA.

AI context DBs (choose 0 or 1 of each kind): 15 Property Graph (including Neo4j, ArcadeDB, FalkorDB, LadybugDB), 4 RDF, 10 Vector, and OpenSearch or Elasticsearch. Data sources: use any of 14 together, 10 with auto sync.

Highlights:
• Built as a separate ACA extension under the Apache 2.0 license
• Multi-select any mix of Alfresco files and folders from ACA’s regular file list views
• New data sources tab (labeled “Other Sources”) for choosing any other data source Flexible GraphRAG supports
• AI context can stay up to date through auto change sync from Alfresco, Nuxeo, SharePoint, Box, Amazon S3, Azure Blob Storage, Google Cloud Storage, Google Drive and OneDrive. File Upload, CMIS, Web Pages, Wikipedia and YouTube can be ingested without auto sync.
• Shares the Flexible GraphRAG Angular UI through a public npm package
• Can build a Docker image with ACA + kg-spaces-aca

The backend is Flexible GraphRAG v0.8.2+ (flexible-graphrag GitHub: https://github.com/stevereiner/flexible-graphrag), an open source AI context platform. It includes:
• Document processing with Docling, LlamaParse or LiteParse
• Knowledge graph auto-building, ontologies and schemas
• Many LLM providers
• GraphRAG and RAG
• Hybrid search (fulltext, vector, property graph, RDF/SPARQL)
• AI query and AI chat

Coming next: optional support for Hyland OpenArch (Hyland Open AI Ready Content Hub) in both kg-spaces-aca and the Flexible GraphRAG backend.

Flexible GraphRAG now has a Zensical documentation web site

Flexible GraphRAG on GitHub

X.com Steve Reiner @stevereiner  LinkedIn Steve Reiner LinkedIn Posts

Repost of my LinkedIn post from April 17, 2026 (original LinkedIn post)

Flexible GraphRAG now has a zensical documentation web site https://stevereiner.github.io/flexible-graphrag/
Flexible GraphRAG can create a Knowledge Context from a combination of Alfresco (Hyland) , SharePoint , Box , S3, GCS, Azure Blob sources. Incremental update auto syncs multiple databases (search, property graph, rdf graph, and vector) used for hybrid search / ai query /ai chat , and agents.

Flexible GraphRAG GitHub repo:
https://github.com/stevereiner/flexible-graphrag

In 0.5.1, Flexible GraphRAG added LadybugDB support. Version 0.5.0 added RDF-based ontologies for both property graph dbs and RDF graph dbs (Graphwise, Ontotext GraphDB, Fuseki, Oxigraph), plus document ingestion with KG extraction, auto incremental change detection, and a search UI (hybrid search, AI query, AI chat) for RDF graph dbs in addition to previous property graph / vector / search db support.

Next version will expand flexible LangChain / LlamaIndex support: using everything in LlamaIndex, or LlamaIndex plus 6 additional LangChain new property graph databases, or everything in LangChain (graph, vector, search, llm).

x.com: https://x.com/stevereiner
integrated Semantics Blog: https://integratedsemantics.org/

Flexible GraphRAG v0.5.1 now supports LadybugDB, hybrid_system modularized

Flexible GraphRAG on GitHub

X.com Steve Reiner @stevereiner  LinkedIn Steve Reiner LinkedIn Posts

Repost of my LinkedIn post from April 8, 2026 (original LinkedIn post)

Flexible GraphRAG v0.5.1 now supports LadybugDB and hybrid_system was modularized. In v0.5.0 , support for RDF-based ontologies for both property graph databases and RDF graph databases (Graphwise Ontotext GraphDB, Fuseki, and Oxigraph) was added. Also, document ingestion with KG extraction, auto incremental data source change detection, and search UI (hybrid search, AI query, and AI chat) are all supported with both database types. For RDF search, install with the additional LangChain option. Next version will be able to use everything in LlamaIndex, or LlamaIndex with 6 additional LangChain property graph databases, or everything in LangChain (graph,vector,search).
Note: until GitHub support fixes an automated flag on my account, you need to login to GitHub to see my repos:
flexible-graphrag: https://github.com/stevereiner/flexible-graphrag
llama-index-ladybug: https://github.com/stevereiner/llama-index-ladybug