What is a Vector Database for LLM: Complete Guide
In the era of Large Language Models (LLMs) like GPT-4 and GPT-3.5, managing high-dimensional vector embeddings is critical to enabling tasks such as semantic search, personalized recommendations, and retrieval-augmented generation (RAG). A vector database is specifically designed to store, index, and query these embeddings efficiently, helping LLMs process vast data with speed and accuracy. In … Read more