Embeddings Slides for Generative AI and Language Models
Embeddings play a key role in using GenAI specifically building chatbot, AI Assistant or Search. One of crtical step in RAG is to create embedding, store it in vector DB. At time of query query embedding play key role in getting context and passing the context to LLM provider. This slide and article describe discusses creating, storing, and utilizing embeddings for search, context retrieval, and various applications beyond RAG and LLMs.
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