You will get a RAG chatbot trained on your documents


Project details
I build custom RAG chatbots trained on your documents, PDFs, or knowledge base using LLM and vector search technology. Delivers accurate, citation-backed answers instead of generic responses. Deployed on web, WhatsApp, or Telegram — tested and production-ready.
Database Type
SQLite, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$99
|
Standard
$199
|
Advanced
$299
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $30
Additional Revision
+$20Frequently asked questions
About Abubaker
AI Agent Developer | AI Automation | n8n | Voice AI | LLMs
Faisalabad, Pakistan - 10:30 pm local time
If your team is spending time answering the same questions, qualifying leads, booking appointments, updating CRMs, or moving information between tools, I can help automate that workflow with AI.
What I can build for you:
• AI agents for customer support, lead qualification, and business workflows
• AI voice agents for calls, FAQs, qualification, and appointment workflows
• n8n automations connecting CRMs, email, WhatsApp, APIs, and internal tools
• RAG assistants that work with your documents and knowledge base
• LLM integrations using OpenAI, Claude, and Gemini
• Custom API integrations and AI-powered workflows
My typical approach is simple: understand the business process first, identify what should be automated, then build a reliable workflow around the right AI models and integrations.
Tech I work with includes Python, FastAPI, n8n, LangChain, RAG, vector databases, REST APIs, webhooks, Docker, AWS, and leading LLM platforms.
If you have a repetitive business process or an AI automation idea, send me the workflow or requirements. I can help you turn it into a practical AI system.
Steps for completing your project
After purchasing the project, send requirements so Abubaker can start the project.
Delivery time starts when Abubaker receives requirements from you.
Abubaker works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review your documents and understand the type of questions users will ask.
Document Processing
Chunk and embed your documents into a vector database for accurate retrieval.