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Supports indexing of multiple knowledge sources (Confluence, Notion, GitHub wikis, custom databases) with automatic updates when source documents change.","intents":["I want the agent to understand our team's internal processes and conventions","I need the agent to reference our documentation when answering questions","I want to keep the agent's knowledge up-to-date as our processes evolve"],"best_for":["teams with extensive internal documentation and processes","organizations wanting to reduce onboarding time by making knowledge accessible to agents","teams needing agents to cite sources and provide traceable answers"],"limitations":["RAG retrieval adds latency — typical 200-500ms per query for embedding and retrieval","Knowledge base quality directly impacts agent quality — garbage in, garbage out","Keeping embeddings synchronized with source documents requires continuous indexing"],"requires":["Vector database (Pinecone, Weaviate, Milvus, or similar) or embedding service","Connectors to knowledge sources (Confluence API, Notion API, GitHub API, etc.)","Embedding model (OpenAI, Hugging Face, or local model)"],"input_types":["knowledge source documents","user queries","document metadata"],"output_types":["retrieved context chunks","agent responses with citations","indexing status reports"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-teamcopilot__cap_6","uri":"capability://automation.workflow.agent.performance.monitoring.and.metrics","name":"agent-performance-monitoring-and-metrics","description":"Collects and aggregates metrics on agent performance including execution time, success/failure rates, cost per execution, and user satisfaction scores, providing dashboards and alerts for team visibility. 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