Capella AI Services include:
- Model Services: Offers managed endpoints for leading LLMs and embedding models, and provides value-added capabilities, such as prompt and conversation caching, guardrails, and keyword filtering to support RAG and agentic workflows. The colocation of data and AI models makes it easy to meet the desired privacy and latency requirements for building enterprise-grade RAG applications, without needing to use expensive private links or custom solutions.
- Unstructured Data Services: Extracts, cleans, chunks, and transforms unstructured documents into JSON, preparing them for vectorization. It also extracts structured information from complex documents and makes them queryable in Capella. This saves developers time associated with building DIY preprocessing pipelines.
- Vectorization Services: Automates vectorization and indexing of data stored in Capella. Along with Model and Unstructured Data Services, this helps developers quickly build a RAG pipeline with fewer tools.
- AI Agent Catalog Services: Accelerates agentic application development by offering a centralized repository for tools, metadata, prompts, and audit information for LLM flow, traceability, and governance. It also automates discovery of relevant agent tools to answer user questions, and manages guardrails to ensure that agent exchanges are consistent over time.
- Capella AI Functions: Enhances developer productivity by embedding AI-driven data analysis directly into application workflows using familiar SQL++ syntax, eliminating the need for external tools or custom code. With capabilities like summarization, classification, sentiment analysis, and data masking, Capella empowers developers to seamlessly transform complex transactional and columnar data into actionable insights within a single unified platform.
*Access is limited. Submitting a request does not guarantee enrollment in the private preview program.