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Flexible GraphRAG v0.9.0 and KG Spaces v0.9.0 released, with support for Hyland OpenArch

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

Repost of my LinkedIn post from October 27, 2026 (original LinkedIn post)

Flexible GraphRAG v0.9.0 and KG Spaces v0.9.0 are released, with support for Hyland OpenArch.

Hyland OpenArch federates unstructured, AI-ready data from all sources across an organization and makes it available to AI services and agents while always respecting permissions. GitHub: https://github.com/Hyland/OpenArch

In OpenArch mode, OpenArch is the search, vector, and document state store. Flexible GraphRAG sends it parsed text from its doc processors (Docling, LlamaParse, LiteParse) plus embedding chunks, and keeps building knowledge graphs into any of 15 property graph databases and/or 4 RDF stores. Search and AI query fuse graph and RDF results with OpenArch search and vector results.

All 14 data sources work with OpenArch, 10 with incremental auto-sync:
Auto-sync: Alfresco, Nuxeo, SharePoint, OneDrive, Box, Google Drive, Amazon S3, Google Cloud Storage, Azure Blob Storage, Filesystem
Without: CMIS, Web Pages, Wikipedia, YouTube

Builds on the 0.8.x permission work: per-source sign-in/sign-out, results filtered to what each user can see (UI and MCP), and filter pills to pick which sources feed hybrid search and AI chat. v0.9.0 adds separate Graph and RDF columns to the Processing table for per-file/folder options.

The projects

🔹 Flexible GraphRAG: Python backend, doc processing, KG building, ontologies, RAG/GraphRAG, Angular/React/Vue UIs, MCP server
GitHub: https://github.com/stevereiner/flexible-graphrag

🔹 python-openarch-api: Python client for OpenArch’s REST API
GitHub: https://github.com/stevereiner/python-openarch-api

🔹 KG Spaces for Alfresco ACA: “Add to KG Spaces” (ingest, or manage search+vector, graph, RDF, auto-sync) and “Ask KG Spaces about this folder or document”
GitHub: https://github.com/stevereiner/kg-spaces-aca

🔹 KG Spaces for Nuxeo (new): runs in its own tab; the Add/Ask menus in Nuxeo Web UI switch to it, and view links switch back
GitHub: https://github.com/stevereiner/kg-spaces-nuxeo

🔹 KG Spaces Deployment: one Docker Compose with Alfresco, Nuxeo, Hyland OpenArch, Flexible GraphRAG and both KG Spaces UIs; pick your graph DB and/or RDF store
GitHub: https://github.com/stevereiner/kg-spaces-deployment

📸 The image: KG Spaces landing page, Nuxeo Web UI with Add to KG Spaces, KG Spaces for Nuxeo AI query, and KG Spaces for ACA AI chat, with search filter pills from ingesting all 14 sources.

Graph databases as the node store for content repositories: three new open source projects

Flexible GraphRAG on GitHub

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

Repost of my LinkedIn post from October 16, 2026 (original LinkedIn post)

Graph databases as the node store for content repositories: three new open source projects:
Now available: three Apache 2.0 Java projects that keep a content repositories’ whole tree (documents, folders, metadata, versions, permissions) in Neo4j or ArcadeDB instead of MongoDB or SQL. The platform and its APIs are unchanged, and every write still goes through the repository.

🔹 nuxeo-graph-storage: Nuxeo LTS 2025 with its document and folder nodes in Neo4j or ArcadeDB. Both run Nuxeo‘s own core repository tests, and the Nuxeo Web UI works with either. https://github.com/stevereiner/nuxeo-graph-storage

🔹 oak-graph-store: Apache Jackrabbit Oak DocumentStores for Neo4j and ArcadeDB, replacing the MongoDB and RDB stores. Apache Sling and Composum Tools run with the whole repository in the graph.
oak-graph-store: https://github.com/stevereiner/oak-graph-store

🔹 openarch-graph-storage: Hyland OpenArch federates AI-ready data from sources across the organization and makes it available to AI services and agents while respecting permissions. OpenArch kept Nuxeo‘s pluggable node storage, so this stores its nodes in Neo4j or ArcadeDB.
openarch-graph-storage: https://github.com/stevereiner/openarch-graph-storage
Hyland OpenArch: https://github.com/Hyland/OpenArch

Why a graph?
• Better modeling: business entities (products, contracts, suppliers) and their relations as typed nodes and edges, not only files.
• Impact and dependency questions, many hops deep, become direct traversals.
• Context graph support: the content tree and the knowledge graphs built from it in one database, entities linked to their source documents.
• AI agents get context and provenance from the graph; the repository still enforces what they may see and do.

What's next
Starting: Flexible GraphRAG and KG Spaces ACA with OpenArch, regular or with openarch-graph-storage. Either way, Flexible GraphRAG can build the knowledge graph in a property graph database (any of 15), an RDF store (any of 4), or both; with graph storage, most likely the same Neo4j or ArcadeDB as the content, plus optional RDF. Flexible GraphRAG‘s Turtle Ontologies work with both property graphs and RDF stores.
Flexible GraphRAG: https://github.com/stevereiner/flexible-graphrag
KG Spaces ACA: https://github.com/stevereiner/kg-spaces-aca

All three node storage projects are prototypes. Feedback welcome.

Flexible GraphRAG v0.8.4 and KG Spaces v0.8.4 for the Alfresco Content App (ACA)

Flexible GraphRAG on GitHub

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

Repost of my LinkedIn post from October 12, 2026 (original LinkedIn post)

Flexible GraphRAG v0.8.4 and KG Spaces (v0.8.4) for Alfresco Content App (ACA)

📸 KG Spaces Processing Tab Each row now has Search+Vector, Graphs and Auto Sync checkbox columns instead of single settings.
• You can use these when ingesting, and later to manage settings: turn vector + search indexing on or off, auto-built graphs (property and/or RDF) on or off, and auto sync on or off, per document, per folder, or for all.
• On documents or folders that are already processed, unchecking Search+Vector and/or Graphs removes them (checking adds them) when you click Start Processing.
• New Run in background checkbox
• New user Jobs tab: shows the users document ingests, index / graph adds and removals, and when an auto sync occurs.

🔗 Answers you can trace: Hybrid search results (vector, search, graph, and RDF) and AI query / AI chat answers now name the source documents they came from, as links:
• Alfresco documents open in the ACA viewer over their folder (or in Share)
• Nuxeo documents open in the Nuxeo Web UI
• Web pages and Wikipedia open at their URL
• YouTube opens at the time of the transcript segment

🤖 Source links from the MCP server too The Flexible GraphRAG MCP server returns the same style source links: Alfresco documents to view in ACA, Nuxeo in its Web UI, and links for web page, Wikipedia and YouTube sources. Use search_documents tool for hybrid search and query_documents tool for AI query.

🔐 Permission-aware answers: Hybrid search, AI query and AI chat return results only from documents the signed-in Alfresco user may read.

💬 New in KG Spaces
• Ask KG Spaces about this document / folder menu, then keep asking with this context in AI chat
• Closing ACAs viewer from source links returns you to your hybrid search results, AI query, or AI chat

Also: ArcadeDB moves to 26.10.1.

Flexible GraphRAG GitHub: https://github.com/stevereiner/flexible-graphrag
KG Spaces for ACA GitHub: https://github.com/stevereiner/kg-spaces-aca

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 v0.8.0 released, with an optional CocoIndex integration

Flexible GraphRAG on GitHub

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

Repost of my LinkedIn post from August 20, 2026 (original LinkedIn post)

Flexible GraphRAG v0.8.0 released, with an optional CocoIndex integration. CocoIndex is a Rust based incremental sync and processing engine for context, agents, and data pipelines.
You can now use a CocoIndex pipeline working inside the Flexible GraphRAG app instead of the default pipeline.

Mixing components: CocoIndex components (source/target connectors, functions, splitting) and Flexible GraphRAG “Flexible” components: data sources, LlamaIndex / LangChain targets, document processing (LiteParse, Docling, LlamaParse), splitting, chunking, ontologies, KG extraction. These are separate from the Langflow “Flexible” components. In .env you pick a backend per piece (source, chunker, property graph, vector, search, KG extractor): llamaindex, langchain, or cocoindex; the database is configured separately. RDF is LangChain only, and KG extraction is LlamaIndex / LangChain, although the new custom KG extractors can use CocoIndex’s entity resolver.

Incremental updates: CocoIndex deals with incremental handling — step-level memoization, automatic delete reconciliation — instead of the Python based incremental update system. Postgres still keeps track of the data sources configured in the UI (datasource_config table), but the document_state table is not used. The event change detectors from the default system are also used with the CocoIndex pipeline for “Flexible” data sources: Alfresco ActiveMQ, Nuxeo Kafka, S3 SQS, Azure Blob change feed, GCS Pub/Sub, Google Drive Changes API, OneDrive/SharePoint MS Graph delta query, Box Events API, and Local Filesystem watchdog.

Outside the app too: this CocoIndex pipeline “app file” can be used outside the Flexible GraphRAG app for custom mixed apps. Also, CocoIndex provides CLI support.

Flexible GraphRAG components can be used : 14 data sources (10 auto syncing) and all the DBs — 15 property graphs, 4 RDF stores, 10 vector stores, 3 search engines. CocoIndex native components can be used too: vector DBs, property graph DBs, relational and analytical DBs, and message streams: https://cocoindex.io/docs/connectors/

A Flexible GraphRAG CocoIndex Integration Meeting Notes Knowledge Graph example is provided: any of 10 data sources, to any of 15 property graph databases.

Flexible GraphRAG is an Apache 2.0 open source AI context platform: document processing, knowledge graph auto-building, ontologies, many LLM providers, GraphRAG and RAG, hybrid semantic search, AI query, and AI chat. Python backend (LlamaIndex + LangChain), Angular / React / Vue frontends, an MCP server, Hyland Alfresco , Hyland Nuxeo support, and Docker Compose any database, dashboard.

GitHub: https://github.com/stevereiner/flexible-graphrag
Docs: https://stevereiner.github.io/flexible-graphrag/
PyPI: https://pypi.org/project/flexible-graphrag/
MCP PyPI: https://pypi.org/project/flexible-graphrag-mcp/
Docker: https://hub.docker.com/u/integratedsemantics
Blog: https://integratedsemantics.org/
CocoIndex: https://github.com/cocoindex-io/cocoindex