𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀
AI changes fast. Retrieval-Augmented Generation (RAG) helps. It links Large Language Models (LLMs) to external data. This makes AI smarter.
Basic RAG is the start. Advanced RAG improves four steps:
- Storing
- Retrieving
- Augmenting
- Generating
These changes improve accuracy.
Here are the key methods:
Hybrid Retrieval Use vector and keyword searches together. Use re-ranking to find the best results.
GraphRAG Use knowledge graphs. This shows relationships in your data. It makes answers easier to explain.
Agentic RAG Use AI agents. They rewrite queries. They handle complex tasks. They plan and check their work.
Post-Retrieval Filter metadata. Chunk text. Summarize results. This keeps the information clean.
Moving to production is not simple. You need a plan for data ingestion and ranking. Google Codelabs shows how to use Cloud SQL and Vertex AI for this.
Advanced RAG makes AI precise. It handles data better. It gives high-quality answers.