RAG Chatbot Diagnostic System

The **RAG Chatbot Diagnostic System** is an AI-powered conversational assistant that leverages **Retrieval-Augmented Generation (RAG)** to provide accurate, context-aware responses by retrieving information from a custom knowledge base before generating answers.

The system is designed to assist users with diagnostics, troubleshooting, and technical support by combining semantic search with large language models. Instead of relying solely on the model's built-in knowledge, it retrieves relevant documents and uses them as context to produce reliable and explainable responses.

### Key Features

* Retrieval-Augmented Generation (RAG) architecture.

* Semantic document search using vector embeddings.

* Custom knowledge base integration.

* AI-powered conversational interface.

* Context-aware and source-grounded responses.

* Document ingestion and indexing pipeline.

* Fast and scalable search capabilities.

* Modular architecture for future expansion and domain-specific knowledge bases.

### Technologies

* Python

* LangChain

* OpenAI API / LLMs

* ChromaDB (or FAISS)

* PostgreSQL

* FastAPI

* Docker

* Git

* REST API