The Hidden Complexity of RAG — From Beginner Surface to Builder Depth

1. 1Embed your documents in a vector database
2. 2Store the embedded documents in Chroma
3. 3Embed the query to retrieve relevant information
4. 4Retrieve the top-5 most relevant documents
5. 5Configure and fine-tune the RAG system for better results

Data scientists and engineers can benefit from understanding RAG's basics to improve their information retrieval systems

💡 RAG's complexity can be broken down into manageable parts, allowing for quick building and iteration

Build a basic RAG system in under 2 hours!