
A serverless, object storage-based vector database that stores and retrieves high-dimensional embeddings at scale, supporting semantic search, RAG pipelines, and recommendation systems with low latency and high recall.
A knowledge engine for AI agents that compiles enterprise data into governed, typed, and cited knowledge artifacts once, then serves them on every agent call — delivering up to 30× faster task completion, over 90% task completion rates, and up to 90% reduction in token usage compared to traditional RAG approaches.
View SolutionA production-ready managed RAG pipeline service that enables developers to build and deploy chat and agent-based applications by uploading documents and calling an API, with optimised retrieval and reranking for grounded, accurate answers.
View Solution