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git-subtree-dir: ai-context/trustgraph-templates git-subtree-split: 42a5fd1b678f32be378062e30451e2052ccb95dd
105 lines
No EOL
4.1 KiB
Jsonnet
105 lines
No EOL
4.1 KiB
Jsonnet
// TrustGraph Flow Classes Configuration
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// Defines different flow combinations for various use cases
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// Each flow class combines multiple functional modules to create complete processing pipelines
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//
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// Available modules:
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// - graphrag: Graph-based RAG with knowledge graphs
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// - documentrag: Document-based RAG with chunk embeddings
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// - structured: Structured data processing and NLP queries
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// - agent: AI agent orchestration and tool integration
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// - load: Document loading and preprocessing
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// - kg-base: Basic knowledge extraction from text
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// - agent-extract: Agent-based knowledge extraction
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// - kgcore: Knowledge graph core storage
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// Import all the modular flow components
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local graphrag_part = import "graphrag.jsonnet";
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local kg_base_part = import "kg-base.jsonnet";
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local onto_base_part = import "onto-base.jsonnet";
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local agent_extract_part = import "agent-extract.jsonnet";
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local structured_part = import "structured.jsonnet";
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local documentrag_part = import "documentrag.jsonnet";
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local agent_part = import "agent.jsonnet";
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local load_part = import "load.jsonnet";
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local kgcore_part = import "kgcore.jsonnet";
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{
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// Complete TrustGraph system with all capabilities
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// Includes GraphRAG, DocumentRAG, structured data processing, and knowledge cores
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"everything": {
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description: "GraphRAG, DocumentRAG, structured data + knowledge cores",
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tags: [
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"document-rag", "graph-rag", "knowledge-extraction",
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"structured-data", "kgcore"
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],
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} +
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graphrag_part + documentrag_part + agent_part + load_part +
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kg_base_part + structured_part,
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// Dual RAG system without knowledge core creation
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// Combines both document and graph-based retrieval
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"document-rag+graph-rag": {
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description: "Supports GraphRAG and document RAG, no core creation",
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tags: ["document-rag", "graph-rag", "knowledge-extraction"],
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} +
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graphrag_part + documentrag_part + agent_part + load_part + kg_base_part,
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// Graph-based RAG only
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// Uses knowledge graphs for context-aware question answering
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"graph-rag": {
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description: "GraphRAG only",
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tags: ["graph-rag", "knowledge-extraction"],
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} +
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graphrag_part + agent_part + load_part + kg_base_part,
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// Graph-based RAG only
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// Uses knowledge graphs for context-aware question answering
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"onto-rag": {
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description: "Ontology RAG only",
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tags: ["graph-rag", "knowledge-extraction"],
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} +
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graphrag_part + agent_part + load_part + onto_base_part,
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// Document-based RAG only
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// Uses document embeddings for semantic search and answers
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"document-rag": {
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description: "DocumentRAG only",
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tags: ["document-rag"],
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} +
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documentrag_part + load_part,
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// Full RAG system with knowledge core creation
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// Includes both RAG types plus persistent knowledge storage
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"document-rag+graph-rag+kgcore": {
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description: "GraphRAG + DocumentRAG + knowledge core creation",
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tags: ["document-rag", "graph-rag", "knowledge-extraction"],
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} +
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graphrag_part + documentrag_part + agent_part + load_part +
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kgcore_part + kg_base_part,
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// GraphRAG with advanced agent-based extraction
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// Uses AI agents for sophisticated knowledge extraction
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"graph-rag+agent-extract": {
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description: "GraphRAG + agent extract",
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tags: ["graph-rag", "knowledge-extraction", "agent-extract"],
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} +
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graphrag_part + agent_part + load_part + agent_extract_part,
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// GraphRAG with structured data processing
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// Combines knowledge graphs with structured data queries
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"graph-rag+structured-data": {
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description: "GraphRAG + structured data",
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tags: ["graph-rag", "knowledge-extraction", "structured-data"],
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} +
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graphrag_part + agent_part + load_part + structured_part,
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// Structured data processing only
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// Handles structured data extraction and NLP queries
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"structured-data": {
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description: "Structured data only",
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tags: ["knowledge-extraction", "structured-data"],
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} +
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agent_part + load_part + structured_part,
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} |