Develop a RAG AI Chatbot for Enterprise Knowledge Management

Description

We are looking for an experienced AI Developer to build a Retrieval-Augmented Generation (RAG) chatbot that can answer questions from company documents, manuals, PDFs, websites, and internal knowledge bases. The chatbot should provide accurate, context-aware responses and support enterprise-scale document search. The solution should be secure, scalable, and easy to integrate with existing business systems.

• Develop a RAG-powered AI chatbot using OpenAI or Anthropic Claude.
• Process and index PDFs, Word documents, Excel files, and web content.
• Integrate a vector database such as Pinecone, ChromaDB, or FAISS.
• Build APIs for chatbot communication and document management.
• Implement user authentication and conversation history.
• Deploy the solution on AWS, Azure, or Google Cloud.
• Optimize performance and response accuracy.

• Enterprise RAG AI Chatbot
• Document ingestion pipeline
• Source code
• API documentation
• Cloud deployment
• User documentation
• 30 days of post-launch support