Local Ai
Give your local Ollama models a personal knowledge bank (graph-based, not just vector search)
This post discusses Graph RAG, an approach that uses local LLMs with Ollama to build graph-based knowledge indexes from source documents by deriving entity knowledge graphs and pregenerating community
This post discusses Graph RAG, an approach that uses local LLMs with Ollama to build graph-based knowledge indexes from source documents by deriving entity knowledge graphs and pregenerating community summaries . Graph RAG improves upon vector search alone for global sensemaking questions over large datasets . The discussion involves adapting Microsoft's GraphRAG to support local models via Ollama for cost-effective local inference without cloud dependencies .
Related
- How are you feeding personal context to your local models?
- Running local models for coding — what's your actual context strategy for large codebases?
- Local LLM and Cloud API Together.
- Agents in Ollama and Langflow
Source: r/ollama | 2026-04-19