What problem does it solve?
Providing accurate and context-aware responses for AI chatbots often requires a robust knowledge base and efficient search mechanisms. This Skill manages the entire lifecycle of an enterprise AI chatbot's knowledge base, from content ingestion to intelligent search.
Core Features & Use Cases
- Semantic & Hybrid Search: Combines vector similarity and full-text search for highly relevant and context-aware results.
- Website Crawler & Embeddings: Automates content extraction from various sources and generates vector embeddings for semantic understanding.
- AI Context Integration: Assembles comprehensive context for AI models from conversation history, relevant KB articles, and user-specific data.
- Use Case: A customer support team wants to deploy an AI chatbot to answer common user questions about product features. This skill helps crawl the existing documentation, build a semantic knowledge base, and integrate it with the chatbot to provide accurate, context-rich answers, reducing support ticket volume.
Quick Start
Use the chatbot-kb skill to trigger a website crawl of https://app.afilo.io/docs to update the knowledge base, then test a semantic search query for 'how to manage subscriptions'.
