AI & LLMs
RAG-based Enterprise Chatbot
Built a company knowledge-base chatbot by chunking internal documents and embedding them using Sentence-Transformers, storing vectors in ChromaDB, and feeding context to Gemini API.
Key Architectural & System Features
Chunked internal documents and embedded them using Sentence-Transformers
Stored vectors in ChromaDB and implemented Retrieval-Augmented Generation pipeline
Automated logging of every chat interaction to Excel/databases for analytics
Technologies & Tools Stack
ChromaDBSentence-TransformersGemini APIPython