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$
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I will build an ai PDF chatbot using rag and vector database
Pasindu Jay
About this gig
I will develop a custom AI PDF chatbot using Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Your chatbot will intelligently answer questions from PDFs, documents, and custom knowledge bases using modern LLM technologies like LangChain, OpenAI, FastAPI, Pinecone, ChromaDB, and FAISS.
Services Included:
- PDF/document processing
- Embedding generation
- Vector database integration
- Semantic search
- API development with FastAPI
- AI-powered question answering
- Custom RAG pipeline setup
Basic Package: Starter RAG Chatbot
- Single PDF support
- Simple chatbot backend
- ChromaDB/FAISS integration
- Basic API setup
Standard Package: Advanced PDF AI Assistant
- Multi-document support
- LangChain integration
- Conversation memory
- FastAPI backend
- Advanced retrieval system
Premium Package Production:Ready RAG System
- Scalable architecture
- Pinecone/Weaviate integration
- Deployment support
- Optimized semantic search
- Full documentation
Perfect for startups, businesses, research, and AI applications.
Get to know Pasindu Jay
Pasindu Jay
Data Engineer
- FromSri Lanka
- Member sinceOct 2023
- Avg. response time1 hour
Languages
English
Computer Science undergraduate passionate about Artificial Intelligence, Machine Learning, Data Engineering, and Business Analysis. Skilled in data-driven solutions, research development, and problem-solving with a focus on quality and client satisfaction.
My Portfolio
FAQ
What document formats do you support?
I can work with PDFs, DOCX, TXT, CSV, websites, and custom knowledge base data.
Which technologies do you use?
I use Python, LangChain, FastAPI, OpenAI API, ChromaDB, FAISS, Pinecone, and modern LLM frameworks.
Can you deploy the chatbot?
Yes. Deployment support can be included in Standard and Premium packages.
