Intro to RAG and Vector Databases for AI

RSVP for In Person Classes at -- https://www.SiliconDojo.com Support Content at - https://donorbox.org/etcg LinkedIn at - https://www.linkedin.com/in/eli-etherton-a15362211/ "They" say that RAG is DEAD! "They" also need to justify a trillion dollars in Cap Ex... RAG or Retrieval Augmented Generation is the system used to provide your "AI" with a knowledge base so that it can answer questions specific to your organization. You can add all of your documents and files and when someone asks your AI a question the RAG system will find specific information from the files that pertains to your question and sends that data with your query to the LLM. This process uses something called a Vector Database, which is technically more complicated than SQL, but from a practical sense isn't overly complicated to setup and run. We'll discuss RAG, Vector Databases, Symantec Searching, Embeddings and how all of this is used to create a system that is actually useful. This class will go over: RAG Vector Databases Embeddings Symantec Searches Chunking Data RAG on SQLite and more...