How Metal AI Built an Agent-Driven Intelligence Platform on Vespa Cloud
How Metal built an AI-Native Intelligence Platform on Vespa.ai, where 95% of retrieval is handled by AI agents.
tensors
ai, genai, RAG, ranking, tensors
Build a High-Quality RAG App on Vespa Cloud in 15 Minutes
Retrieval-Augmented Generation (RAG) allows an LLM to answer questions using your data at query time. On their own, LLMs are powerful but limited: they can hallucinate, they have a fixed knowledge cutoff, and they know nothing about your private documents, internal wikis, or proprietary systems.
ai, genai, LifeSciencesAI, RAG, ranking, tensors
How Tensors Are Changing Search in Life Sciences
Tensor-based retrieval preserves context across queries, maintains “chain of thought” and ranking relevance of multiple scientific factors simultaneously.