Tutorial
Advanced
Creating a Custom RAG System
July 29, 2024
Retrieval Augmented Generation (RAG) combines the knowledge of LLMs with specific document retrieval. To build a basic RAG system: 1) Process your documents into embeddings, 2) Store them in a vector database, 3) When queried, retrieve relevant content based on similarity, 4) Augment your prompt with this content, and 5) Generate contextually informed responses.
Estimated completion time: 30 minutes
Category: LLM Applications
Difficulty: Advanced