AI Evolution Journey
Edo discusses the evolution of semantic search to Rag, enabling processing of 100 documents for new applications like Q&A. AI startups excel in models or search, with Rag driving significant advancements in semantic search capabilities.In this clip
From this podcast
AI + a16z
Vector Databases and the Power of RAG
Related Questions
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode Vectoring in on Pinecone with Cohere co-founder Nick Frosst on building LLM apps for business?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the Weaviate Podcast episode with Cohere co-founder Nick Frosst on building LLM apps for business?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode Vector Databases and the Power of RAG and the clip Evolution of AI, as well as in the episode with Cohere co-founder Nick Frosst on building LLM apps for business and the clip Model Evaluation Insights?