Scoping a new AI Agent? We’ve got the embeddings covered

Sanity has introduced the Embeddings Index API, a tool designed to enhance AI agent chatbots by providing them with specialized knowledge from the content stored in Sanity's Content Lake. This API allows AI agents to draw expertise from a company's unique data, such as product details and support content, without the costly need for fine-tuning large language models (LLMs). By utilizing embeddings, which represent text as numerical vectors, the API enables more meaningful and context-aware responses from AI agents. The integration of this API within Sanity's framework supports Retrieval Augmented Generation (RAG) by acting as the retriever that supplies context to the LLM generator. As content within Sanity evolves, the API automatically updates indexed embeddings, ensuring the AI agent remains informed. Additionally, Sanity has developed a Semantic Reference Search Input plugin, which uses embeddings to improve content discovery by understanding the meaning behind search queries, benefiting content creators by saving time and increasing confidence in content accuracy. These innovations are part of Sanity's broader strategy to leverage AI in enhancing content management and user experience.