I will build an ai chatbot with rag using your documents and knowledge base
About this gig
Are you looking for an AI chatbot that actually understands YOUR business data? I will build a custom RAG (Retrieval-Augmented Generation) chatbot that answers questions accurately using your own documents, PDFs, websites, and knowledge bases.
What You Get:
- Custom AI chatbot powered by GPT-4, Claude, or DeepSeek
- - RAG pipeline with vector database (Pinecone, ChromaDB, Weaviate)
- - Document ingestion: PDFs, Word docs, websites, databases
- - Conversation memory and context-aware responses
- - Web widget or platform integration (WhatsApp, Slack, custom UI)
- - Full source code and deployment support
Why Choose Me:
- 50+ AI projects delivered with production-ready code
- - Live demos available at blocktechnologies.ai
- - Expert in LangChain, LlamaIndex, and vector databases
- - End-to-end development from architecture to deployment
Tech Stack: Python, TypeScript, LangChain, LlamaIndex, OpenAI API, Claude API, Pinecone, ChromaDB, FastAPI, Next.js
Every chatbot is built with clean architecture, proper error handling, and scalable design. I provide complete documentation and post-delivery support.
Message me with your project details for a custom quote!
Get to know Ujjwal S
Build AI Agents, Voice AI, RAG Chatbots, Trading Bots, Blockchain, Web3 DApps
- FromIndia
- Member sinceJan 2019
- Avg. response time4 hours
- Last delivery2 years
Languages
Hindi, English
My Portfolio
FAQ
What document formats can the RAG chatbot process?
The chatbot can ingest PDFs, Word docs, Excel files, CSVs, text files, web pages, and databases. I can also build custom connectors for APIs and other data sources.
Do you provide hosting and deployment?
Yes! I deploy to AWS, GCP, Azure, or your preferred cloud. I also help with Docker containerization and CI/CD setup. Hosting costs are separate and depend on usage.
