Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...

Embedding models for semantic search transform data into more efficient formats for symbolic and statistical computer processing. A type of neural network, an embedding model takes advantage of ...

Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types. Through vector embeddings, essential characteristics or features of ...