I will build custom ai agents, rag chatbots and knowledge base assistants


About this gig
Turn your business documents and knowledge into an AI assistant that can actually use your information.
I build custom RAG chatbots, AI agents, and knowledge assistants that search your documents, retrieve relevant information, and generate grounded answers based on your own data.
I can build:
RAG chatbots for business knowledge
AI agents connected to your data
PDF and document Q&A systems
Internal knowledge assistants
Vector search and embeddings
Supabase, PostgreSQL, and pgvector solutions
OpenAI and Gemini integrations
Conversational memory
API-connected AI assistants
n8n-based RAG systems
Why choose this service?
Built around your own data and use case
Clear, source-grounded responses
Structured document retrieval
Practical business-focused implementation
Complete setup, testing, and integration
I can help turn scattered documents, FAQs, PDFs, and internal knowledge into a searchable AI system your team or customers can actually use.
Message me before ordering to discuss your data, use case, and required AI solution.
Get to know Ali F.
AI Automation Engineer , Business Automation Expert
- FromPakistan
- Member sinceJun 2022
- Avg. response time1 hour
Languages
English, Urdu, Arabic
My Portfolio
FAQ
Q: What kind of data can the AI assistant use?
A: It can work with PDFs, documents, FAQs, knowledge bases, spreadsheets, database content, and other structured or unstructured business information.
Q: What is a RAG chatbot?
A: A RAG chatbot retrieves relevant information from your own data before generating an answer, helping responses stay more grounded in your business knowledge.
Q: Can you connect the assistant to my existing database or tools?
A: Yes. I can connect the solution with APIs, Supabase, PostgreSQL, pgvector, n8n, and other compatible business systems.
Q: Can the AI assistant remember previous messages?
A: Yes. Conversational memory can be added when required so the assistant can maintain context during a conversation.
Q: What do you need from me before starting?
A: Please share your use case, the type of documents or data you want to use, where the assistant will be used, and any tools or integrations you want connected.

