I will build rag chabots and ai applications

So I will be making you a RAG-Basec chatbot which can be used as your college project or a project which can be added in your resume which boosts your resume .These chatbots can be also integrated at Enterprise level if you wanted to .The chatbot will be easy deployable.

I work in this manner:-

Milestone 1 Project Setup and Planning

• Understand client requirements
• Finalize data sources (PDFs, websites, docs)
• Set up project structure and tech stack
• Delivery: Project plan and tech confirmation

Milestone 2 Data Processing and Embedding

• Collect and clean all documents or data
• Chunk and embed data using OpenAI or HuggingFace
• Store vectors in Pinecone or ChromaDB
• Delivery: Working vector database with embedded data

Milestone 3 RAG Pipeline Development

• Build retrieval logic using LangChain
• Connect vector database to LLM (OpenAI or Gemini)
• Test question and answer accuracy
• Delivery: Functional RAG pipeline with test results

Milestone 4 Frontend and UI Integration

• Build chatbot UI using React or Next.js
• Connect frontend to RAG backend API
• Add chat history and response formatting
• Delivery: Fully functional chatbot interface

Milestone 5 Testing Deployment and Handover

• Handover to the client.