You will get a custom AI that answers from your documents with sources
Project details
Generic AI chatbots make things up. This one answers ONLY from your documents — manuals, policies, contracts, catalogs — and cites exactly where each answer came from.
Your assistant will:
• Ingest your documents (PDF, Word, spreadsheets) into a searchable knowledge base
• Answer in natural language, grounded strictly in your content
• Cite the source (document + section) for every answer, so your team can verify
• Say "I don't know" instead of inventing, when the answer isn't in the documents
• Run in YOUR environment — your data never depends on a third-party chatbot service
I've built this architecture professionally, including for sensitive domains (healthcare data with strict privacy compliance) where a wrong answer isn't an option. Same engineering standard here.
Delivered deployed to your cloud or VPS with documentation. AI model of your choice (OpenAI, Claude or others) — I'll recommend based on your content, budget and privacy needs. Optional monthly maintenance available as an add-on.
Your assistant will:
• Ingest your documents (PDF, Word, spreadsheets) into a searchable knowledge base
• Answer in natural language, grounded strictly in your content
• Cite the source (document + section) for every answer, so your team can verify
• Say "I don't know" instead of inventing, when the answer isn't in the documents
• Run in YOUR environment — your data never depends on a third-party chatbot service
I've built this architecture professionally, including for sensitive domains (healthcare data with strict privacy compliance) where a wrong answer isn't an option. Same engineering standard here.
Delivered deployed to your cloud or VPS with documentation. AI model of your choice (OpenAI, Claude or others) — I'll recommend based on your content, budget and privacy needs. Optional monthly maintenance available as an add-on.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$400
|
Standard
$750
|
Advanced
$1,300
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$75
Monthly maintenance & re-ingestion
+$120Frequently asked questions
About Leonardo
AI Agent & RAG Developer | LangChain, Python, WhatsApp Automation
Londrina, Brazil - 6:25 am local time
I'm an AI engineer at the AI lab of a global technology consulting firm, where I build production agent systems for enterprise clients. A few things I've shipped:
- A multi-agent code review system — 8 specialized agents orchestrated with LangGraph, with episodic memory and self-correction (it detects when a fix makes things worse and retries with a new strategy). Running in production.
- A RAG architecture for a health app handling sensitive mother & baby data — strict grounding, anti-hallucination guardrails, human review queue and full privacy compliance.
- An audit agent that takes a checklist and automatically pulls the supporting evidence from corporate databases, cutting days of manual work.
- WhatsApp Business API chatbots and automations for real businesses — not demos.
What you get working with me:
✔ Production thinking from day one: guardrails, testing, fallbacks and monitoring — not a prototype that dies after the demo
✔ Clear communication in fluent English, with honest timelines
✔ A phased work plan with milestones, so you see progress every week
Stack: Python, LangChain, LangGraph, RAG (embeddings + vector databases), FastAPI, PostgreSQL, Docker, GCP, OpenAI/Claude APIs, WhatsApp Business API, Power BI.
Tell me what's
Steps for completing your project
After purchasing the project, send requirements so Leonardo can start the project.
Delivery time starts when Leonardo receives requirements from you.
Leonardo works on your project following the steps below.
Revisions may occur after the delivery date.
Document analysis & design
I review your documents, define the retrieval strategy, and turn your 5 must-answer questions into test cases. You approve before any code is written.
Knowledge base & RAG pipeline
I ingest your documents into a searchable knowledge base and build the retrieval pipeline with strict grounding in your content.