🚀 Embedding Models: Powering Intelligent RAG Systems with Vector Generation
Embedding models are AI models used to generate arrays of embeddings called vectors for given input text. These models provide a more convenient way to generate embeddings or vectors compared to tr...
🚀 Complete Guide to Vectors and TF-IDF in RAG Systems
In previous blogs, we learned about RAG (Retrieval-Augmented Generation) and discovered that there are two core concepts as part of preparing a knowledge base as a vector store: **embeddings** and ...
🧠 Mastering RAG: Empowering AI Models with Our Custom Data
Most Large Language AI models, such as ChatGPT (Generative Pre-Trained Transformer), are pre-trained on vast datasets containing billions of examples. When users request specific information, these...