{
  "id": "knowledge-fabric-impl:private-gpt-fabric",
  "_kind": "KnowledgeFabricImpl",
  "_file": "agent-stack/knowledge-fabric-impls/oss-rag-fabrics.yaml",
  "_cluster": "agent-stack",
  "attributes": {
    "displayName": "PrivateGPT as Local-Only Knowledge Fabric",
    "description": "PrivateGPT as a fully offline, privacy-first knowledge fabric. Runs\nentirely on local hardware with no data leaving the machine. Ingests\ndocuments (PDF, DOCX, TXT, Markdown), embeds them locally using\nopen-source models, and answers questions using a local LLM. Supports\nOllama, llama.cpp, and HuggingFace backends. As a knowledge fabric,\nPrivateGPT is the choice for air-gapped environments, regulated\nindustries, and sensitive document analysis where cloud APIs are\nprohibited by policy or regulation.\n",
    "knowledgeFileFormats": [
      "pdf",
      "docx",
      "txt",
      "markdown"
    ],
    "retrievalStrategy": "semantic-search",
    "knowledgePersistence": "local-index",
    "knowledgeScopes": [
      "project",
      "user"
    ],
    "autoExtractionSupport": false,
    "notes": "PrivateGPT's value proposition is absolute data privacy — no API calls,\nno cloud processing, no data exfiltration risk. This makes it viable for\nknowledge fabrics containing classified, HIPAA, or legally privileged\ninformation. The trade-off is quality — local embedding and generation\nmodels lag cloud models in accuracy and capability. For many regulated\nuse cases, this trade-off is acceptable.\n"
  },
  "outgoingEdges": [
    {
      "from": "knowledge-fabric-impl:private-gpt-fabric",
      "to": "layer:12-knowledge-fabric",
      "kind": "realizes",
      "attributes": {}
    },
    {
      "from": "knowledge-fabric-impl:private-gpt-fabric",
      "to": "tool:private-gpt",
      "kind": "integrates_with",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}