How I Think About RAG Chatbots

RAG is a practical way to make AI answer from your documents instead of only relying on general model knowledge.

1. Upload and extract text

The system accepts files such as PDF, Word, or text documents and extracts readable content.

Large documents are split into smaller searchable blocks so retrieval becomes accurate.

Each chunk is converted into embeddings and stored in a vector database.

When a user asks a question, relevant chunks are retrieved and passed to the LLM as context.