Hermes Pipeline
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Extracted from: https://github.com/pipeshub-ai/pipeshub-ai.git Score: 1.0
11 lines
716 B
Markdown
11 lines
716 B
Markdown
# Examples: langgraph-explainable-agent
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## Usage Example
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```python
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# How to use this skill
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# Inputs: user_query - text input from the user, context_documentation - pre-indexed documents for retrieval, knowledge_graph - graph database for entity relationships
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# Process: Step 1: Create LangGraph chain with agent that processes user query through knowledge graph retrieval and citation generation → Step 2: Execute the chain to generate explainable answer with block citations → Step 3: Apply permission-aware filtering on retrieved context before final answer
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# Outputs: explainable_answer_with_citations - final response with source references, actionable_results - structured output for downstream tasks
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```
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