Custom RAG vs. Legacy Rule-Based Chatbots
Legacy chatbots (like older Intercom or Drift setups) rely on rigid conditional "if-this-then-that" decision trees. If a prospect asks an unscripted question, the bot fails. Shebercraft builds autonomous RAG agents utilizing high-dimensional vector embeddings (Pinecone) over your proprietary documentation. The LLM synthesizes context-aware, human-level answers within strict guardrails, eliminating support dead ends.