I will build a rag chatbot for pdfs documents and knowledge bases


About this gig
Need an AI chatbot that can answer questions from your PDFs, company documents, or knowledge base?
I build custom RAG (Retrieval-Augmented Generation) chatbots that provide accurate, context-aware responses using your own data instead of relying only on general AI knowledge.
Using LangChain, OpenAI, Gemini, or Claude, I create scalable AI assistants for businesses, SaaS platforms, customer support, employee knowledge bases, and internal documentation.
What you'll get:
RAG chatbot development
PDF & document processing
LangChain implementation
Vector database integration (Pinecone, ChromaDB or FAISS)
FastAPI backend
Clean, scalable Python code
Deployment support
Perfect for companies looking to build intelligent document assistants that deliver fast, reliable, and accurate answers.
Get to know Syedshayan
AI Automation Engineer AI Chatbots AI Agents LangChain
- FromPakistan
- Member sinceOct 2024
Languages
Urdu, English
FAQ
What file types do you support?
PDF, DOCX, TXT, Markdown, CSV, and other common document formats.
Which AI models do you use?
OpenAI, Gemini, Claude, and other compatible LLM providers.
Which vector databases do you support?
Pinecone, ChromaDB, FAISS, and other vector stores based on your project needs.
Can this chatbot be added to my website?
Yes. It can be integrated into websites, SaaS products, and internal business tools.
Will I get the source code?
Yes. All packages include clean, well-documented source code.
