II.
KnowledgeFabricImpl JSON
Structured · liveknowledge-fabric-impl:quivr-fabric
Quivr as Team Second Brain Fabric json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "knowledge-fabric-impl:quivr-fabric",
"_kind": "KnowledgeFabricImpl",
"_file": "agent-stack/knowledge-fabric-impls/oss-rag-fabrics.yaml",
"_cluster": "agent-stack",
"attributes": {
"displayName": "Quivr as Team Second Brain Fabric",
"description": "Quivr as a team second brain knowledge fabric. Multi-brain architecture\nallows creating separate knowledge spaces for different topics, teams,\nor projects. File upload, web crawl, and API connectors ingest knowledge\nfrom multiple sources. Chat and search interfaces provide conversational\naccess to stored knowledge. Built with Python/FastAPI backend and\nNext.js frontend. As a knowledge fabric, Quivr provides a user-friendly\ninterface for teams to build and query shared knowledge bases without\ninfrastructure expertise.\n",
"knowledgeFileFormats": [
"documents",
"web-crawls",
"api-imports"
],
"retrievalStrategy": "semantic-search",
"knowledgePersistence": "self-hosted-index",
"knowledgeScopes": [
"team",
"organization"
],
"autoExtractionSupport": false,
"notes": "Quivr's multi-brain architecture is well-suited for organizations that\nneed knowledge isolation between teams or projects while maintaining a\nunified platform. Each brain can have different embedding models,\nretrieval configurations, and access controls. The trade-off is\ncomplexity of managing multiple brains versus a single unified index.\n"
},
"outgoingEdges": [
{
"from": "knowledge-fabric-impl:quivr-fabric",
"to": "layer:12-knowledge-fabric",
"kind": "realizes",
"attributes": {}
},
{
"from": "knowledge-fabric-impl:quivr-fabric",
"to": "tool:quivr",
"kind": "integrates_with",
"attributes": {}
}
],
"incomingEdges": []
}