A vector database stores, manages and indexes high-dimensional vector data to be stored as arrays of numbers called “vectors,” clustered based on similarity.
So in the field of machine learning and in data science overall, having emerged as one of the best ways to store vector embeddings, vector databases are ahot commodity. Various promising open-source vector database (and closed, as well) offerings include Faiss, Milvus, Weaviate, Pinecone, an...
This tutorial offers a step-by-step guide to combining Milvus, an open-source vector database, with GPT models. Data quality The effectiveness of an RAG system depends heavily on the quality of data being fed into it. If the source content accessed by the application is poor, the responses...