Vector Databases and the Power of RAG
AI + a16z
Expanding Cognitive Bandwidth with RAG Technology
RAG technology allows for the processing of a hundred full documents to extract information or facts, surpassing the cognitive limits of human consumption from traditional search results. By utilizing a language model, RAG opens up new opportunities for applications like Q&A, where semantic search falls short. While vector search is still the backend mechanism for speed and scalability, RAG's ability to process large amounts of data gives rise to a new wave of possibilities in information retrieval.
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