I will build a rag chatbot trained on your documents

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digital_davinci
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digital_davinci
Digital Davinci

About this gig

I build a RAG chatbot that answers from your files, not from generic AI knowledge. When the documents don't cover a question, it says so and asks for more information.


I built this on a legal case-file system. Files are chunked with metadata into Supabase and a Qdrant vector store. About 10 GB of a much larger archive is indexed so far. A master workflow hands work to five specialist sub-agents.


What you get:

- An AI chatbot that answers from your own documents

- A clear "need more information" reply when the material is missing

- Your files chunked, tagged and indexed

- A way to add more documents later


How I work:

- You send sample files and the questions you want answered

- I index them and test with your questions

- You review, I revise, then I hand over


Who it's for: teams with PDFs, contracts or manuals who want a custom chatbot or knowledge base chatbot instead of searching folders by hand.

Get to know Digital Davinci

Digital Davinci

I build systems that think, act, and scale with your business !

4.7(276)
  • FromBangladesh
  • Member sinceApr 2018
  • Avg. response time1 hour
  • Last delivery8 months
  • Languages

    English, Spanish, French, Arabic, German
Software Engineer, Systems Architect, and AI Automation Specialist delivering enterprise-grade AI solutions to healthcare, real estate, and professional services clients. Expert in AI agents, voice AI, and workflow platforms including n8n, Make, Zapier, Vapi, Relevance AI, and Synthflow. Leveraging frameworks like LangChain, PyTorch, TensorFlow, and CrewAI to build intelligent, scalable systems from voice receptionists to complex API integrations. Streamlines operations across Salesforce, Airtable, HubSpot, and Shopify, delivering tailored automation that drives efficiency and growth.

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