Hermes Pipeline
965f838114
Extracted from: https://github.com/pipeshub-ai/pipeshub-ai.git Score: 1.0
28 lines
1.5 KiB
JSON
28 lines
1.5 KiB
JSON
{
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"name": "langgraph-explainable-agent",
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"version": "1.0.0",
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"goal": "Orchestrate an AI agent workflow that provides explainable answers with citations using knowledge graph retrieval and permission-aware search",
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"inputs": [
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"user_query - text input from the user",
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"context_documentation - pre-indexed documents for retrieval",
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"knowledge_graph - graph database for entity relationships"
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],
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"steps": [
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"Step 1: Create LangGraph chain with agent that processes user query through knowledge graph retrieval and citation generation",
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"Step 2: Execute the chain to generate explainable answer with block citations",
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"Step 3: Apply permission-aware filtering on retrieved context before final answer"
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],
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"outputs": [
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"explainable_answer_with_citations - final response with source references",
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"actionable_results - structured output for downstream tasks"
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],
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"failure_modes": [
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"Empty knowledge graph causes missing citations",
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"Permission denied on source documents blocks retrieval",
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"LangGraph chain execution fails due to missing dependencies"
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],
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"confidence": 0.95,
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"explanation": "This workflow demonstrates a reusable LangGraph-based pattern for building explainable AI agents that integrate knowledge graph retrieval and citation generation. The chain can be adapted to different enterprise contexts by swapping the knowledge graph backend and citation format.",
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"source_repo": "https://github.com/pipeshub-ai/pipeshub-ai.git",
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"score": 1.0
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} |