Custom RAG Knowledge Bot, AI Trained on Your Company Documents.

About this Gig

I'll build a custom AI chatbot trained specifically on YOUR company documents, so your team or customers get instant, accurate answers without searching through folders, PDFs, or Notion pages. WHAT'S INCLUDED: • AI chatbot trained on your internal documents (Google Drive, Notion, PDFs, Word docs) • Vector database setup for fast semantic search • Deployed to your preferred channel: WhatsApp, Slack, web widget, or API endpoint • Prompt engineering with anti-hallucination guardrails • Fallback-to-human escalation logic (if AI can't answer, it routes to a real person) • Source citation — bot tells users exactly which document the answer came from • Documentation and handoff guide HOW IT WORKS: 1. I ingest and embed your documents into a vector database 2. When a user asks a question, the AI retrieves the most relevant document chunks 3. LLM generates a precise answer grounded in YOUR data, not generic internet knowledge 4. If confidence is low, the query escalates to a human team member FAIL-SAFE ENGINEERING: → Anti-hallucination: AI only answers from your verified documents → Source attribution: Every answer cites the exact document and section → Human escalation: Low-confidence queries route to your team instantly → Retry queue: Zero dropped queries during API rate limits or downtime Delivery: 7 business days.

Requirements

To start, I need: 1. Access to your document source (Google Drive folder, Notion workspace, or uploaded PDFs/Word files). 2. Your preferred deployment channel (WhatsApp, Slack, web widget, or API). 3. A list of 5-10 example questions your users typically ask. 4. Your preferred AI model (I'll recommend based on your use case). 5. Any topics the bot should NOT answer or should escalate to a human.

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