I will build custom ai chatbot for your documents using rag and llm

This gig specializes in building custom AI chatbots that answer questions over a clients own content (PDFs, Word, Excel, Confluence, Notion, websites) using LLM and Retrieval Augmented Generation, so answers are grounded in real data instead of generic internet knowledge. The chatbot can be accessed via a simple web interface or an API, and can be deployed on cloud platforms like Azure or GCP or packaged in Docker for easy hosting.

Clients can choose between three levels of depth:

• A Basic proof-of-concept chatbot over a single data source, ideal for testing and demos.
• A Standard business chatbot that supports multiple document sources, light CRM/database integration, and basic access control.
• A Premium production ready AI assistant with advanced integrations (CRM, databases, internal tools), authentication, monitoring, and multilanguage support, along with full source code and deployment scripts.

The core value is saving teams time by letting them ask natural language questions and get accurate, context aware answers from their own knowledge base, without needing to search manually or rely on nonspecialized bots.