X.com Steve Reiner @stevereiner LinkedIn Steve Reiner LinkedIn Posts
Repost of my LinkedIn post from January 5, 2026 (original LinkedIn post)
Shown: updated Flexible GraphRAG with Neo4j, Observability with Grafana Labs , GitHub 🌟 https://github.com/stevereiner/flexible-graphrag , updates:
1. Observability support added with OpenTelemetry, Prometheus, Grafana, Jaeger, and OpenLIT
2. SharePoint and OneDrive data sources fixed and now working (13 data sources: filesystem, Alfresco, SharePoint, Box, CMIS, S3, GCS, Azure Blob, OneDrive, Google Drive, web sources)
3. Added LLM Providers (now 9 total) : OpenAI, Azure OpenAI, Google Gemini, Vertex AI, Anthropic Claude, Amazon Bedrock, Ollama, Grog, Fireworks AI, and Ollama. Uses LlamaIndex.
4. Embedding providers can be used independently..
5. Like KG Spaces (Github 🌟 https://github.com/stevereiner/kg-spaces-aca) for Hyland Alfresco ACA, added a “Skip graph” checkbox for per ingest control. Skip graph allows on each ingest to have fast RAG ingest speed (vector+full-text) or a full GraphRAG ingest (vector+full-text+graph). Hybrid search and AI query / AI chat works with all that is available from mixed kinds of ingests.
6. Flexible GraphRAG MCP server: added support for all 13 data sources, per ingest skip_graph option , data source config options, full REST API parity.
7. Backend REST API (also supports all 13 data sources), added support for per ingest skip graph, also for KG Spaces: multi-file ingest NodeDetails list with nodeids, get by path for regular Flexible GraphRAG with updated Python Alfresco API package (Github 🌟https://github.com/stevereiner/python-alfresco-api)
8. Added Python backend pyproject.toml, llama-core (no llama-index) and integrations only, to avoid package version issues.
Flexible GraphRAG or Flexible RAG, an Apache 2.0 open source Python platform, uses LlamaIndex , supports 8 graph databases, 10 vector databases, 3 search engines, and 13 data sources, Also supports knowledge graph auto-building, schemas, 9 LlamaIndex LLMs, Docling or LlamaParse doc processing, GraphRAG mode, RAG only mode, Hybrid search, AI query, AI chat. Has React, Vue, and Angular frontends, and a FastAPI backend. Also has a FastMCP MCP server. Has a convenient docker compose that can include any of the databases (Vector, Graph, Search, Alfresco) and Dashboards / Consoles.
X.com Post on updates
https://x.com/stevereiner/status/2007534742908846552
Integrated Semantics Blog:
https://integratedsemantics.org/
