Main Concept
- You connect the model to your external knowledge base (you own data)
- External data could be documents, databases, wikis, etc.
- The external data is pre-indexed and controlled (you decide what information the model can access)
- You external data is converted to vectors (embeddings), and stored in databases like Amazon OpeSearch
- The model retrieves relevant information, then generate responses.
- Example: Customer service chat for a company
- Knowledge base: Company’s products manuals, FAQ documents, policy guides stored in Amazon S3.
- Process: Customers asks, the system searches on the company documents and generates answers.