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I will build custom rag ai chatbots
Eric B
About this gig
Want an AI assistant that actually knows your business? I'll build a custom RAG (Retrieval-Augmented Generation) chatbot trained on your documents, SOPs, and internal knowledge deployed wherever your team works.
I've built and deployed production RAG systems for real companies, including a Slack-based knowledge bot that ingested 45 documents for a health-tech startup's daily operations with compliance rules, conversation memory, and sourced answers.
What you get:
Custom knowledge base from your documents (PDFs, docs, web content) AI chatbot powered by Claude or GPT with accurate, sourced answers Vector database setup (Qdrant or Pinecone) Deployment to Slack, web widget, or custom platform Conversation memory for multi-turn dialogue Document ingestion pipeline for adding new knowledge
Use cases:
Internal team Q&A instant answers from your SOPs and docs Customer support AI that knows your product inside and out Sales enablement reps get instant access to pricing, specs, case studies Compliance-aware responses embed rules your chatbot must follow
Message me with your use case and I'll tell you exactly what's possible.
Get to know Eric B
Eric B
AI Automation Engineer
- FromUnited States
- Member sinceJul 2025
- Avg. response time2 hours
Languages
English
I build intelligent automations that replace manual work — RAG systems, AI agents, and data pipelines that run 24/7.
1. n8n Workflow Automation
2. RAG & AI Agent Systems
3. AI Voice & Phone Agents
4. Python Automation & API Integration
5. Data Enrichment & Pipeline Engineering
My Portfolio
FAQ
What types of documents can you ingest?
PDFs, Word docs, text files, web pages, Google Docs, Notion exports, CSVs, and more. I chunk and embed them optimally so the AI retrieves the most relevant information for each question.
How accurate are the responses?
RAG chatbots retrieve relevant document chunks before generating answers, so responses are grounded in your actual content — not hallucinated. I also tune retrieval parameters (top-K results, embedding model, chunk size) for your specific use case
Can I add new documents later?
Yes. The Standard and Premium tiers include a document ingestion pipeline, so you or your team can add new content anytime without needing a developer.
What are the ongoing costs?
You'll need API keys for the LLM (Claude or OpenAI — typically $10–50/month for moderate usage) and a vector database (Qdrant self-hosted is free, Pinecone has a free tier). I'll help you choose the most cost-effective setup for your volume.
Can the bot enforce compliance rules or business logic?
Absolutely — this is something I specialize in. I built a production system with FDA/FTC compliance rules embedded directly in the AI's instructions, so it only makes approved claims. I can build any business rules into your bot's behavior.
Can I get ongoing support and maintenance
Absolutely, my service comes with a full revision package and the ongoing maintenance is really in API costs.
