Everything About Vector Embeddings
In this post, we discuss about Everything About Vector Embeddings. Vector embeddings are a powerful tool for many machine learning tasks
RAG
How to Create Multi-User Conversational RAG Systems
In traditional Retrieval-Augmented Generation (RAG) systems, queries need to be specific and exact. However, in most real-world chatbot interactions, users tend to converse naturally without repeating the same terms or asking highly specific questions. How can we address this challenge? Here’s an illustration of a Multi-user Conversational RAG system!
Can we pre-train LLMs with Retrieval Augmentation?
In this post, we try to explore how Can we pre-train LLMs with Retrieval Augmentation. Retrieval augmented generation (RAG) is a technique for improving the performance of large language models (LLMs) by providing them with access to external knowledge sources.