knowledge-base-injection

What problem does it solve?

Knowledge-base injection prevents generic AI outputs by dynamically adding the most relevant, vetted domain action patterns into the agent context at the moment they matter.

Core Features & Use Cases

• TF-IDF pattern retrieval with semantic scoring: Selects the most relevant Google Ads optimization patterns from a structured knowledge base using TF-IDF relevance and confidence weighting.
• Top-K context injection with audit-ready citations: Injects only the highest-scoring patterns into the prompt and links recommendations back to specific pattern IDs for traceability.
• RAG-style grounding for action patterns: Retrieves structured, confidence-scored rules (not raw documents) so outputs are more actionable than document-level retrieval.

Quick Start

Ask an agent to analyze your Google Ads campaign and explicitly ground its recommendations by injecting the top relevant knowledge base patterns with cited pattern IDs.