Embeddings in RAG: The Core of Semantic Search
Retrieval-Augmented Generation (RAG) systems rely on the core idea of converting text into vectors so we can search by meaning instead of keywords. These vectors are called embeddings, and they are th
Retrieval-Augmented Generation (RAG) systems rely on the core idea of converting text into vectors so we can search by meaning instead of keywords. These vectors are called embeddings, and they are th
The moment we interact with LLMs, we get probabilistic output. They'll return "price": "$45.99" one time and "price": 45.99 the next. Sometimes, they even forget required fields. This might not look l
Observability is an essential topic in modern software development. It is particularly useful when you move the application to the production. Observability in AI application is more extended than traditional application because you need to observe t...