VELLUM RETRIEVAL

RAG without
the drag

From basic RAG to advanced retrieval optimization, Vellum turns unstructured data into intelligent, context-aware solutions optimized for your AI systems.

Book a Demo

Watch 1 min video

Trusted by leading teams

Demo

Lightning fast setup

Two simple APIs – one to upload unstructured data, and another to search across it. Focus on your customers and not commonplace RAG infrastructure like document ingestion, OCR, chunking, metadata filtering, and embedding model integrations.

Explore Documentation

Beyond basic RAG

kNN with text-embedding-3-large on pinecone can get you pretty far, but advanced use-cases requires more advanced tooling. Vellum provides all the knobs and dials you need to optimize your retrieval strategy by experimenting with different chunking strategies, embedding models, search weights, and more.

Make any data AI-ready

With support for in-memory strings, text files, PDFs, images, and more, Vellum’s retrieval UIs and APIs make it easy to feed relevant context to your AI systems regardless of what format it’s in.

Book A Demo

Get a live walkthrough of the Vellum platform

Explore use cases for your team

Get advice on LLM architecture

👋 Your partners in AI Excellence

Thank you!
Your submission has been received!

Oops! Something went wrong while submitting the form.

Vellum helped us quickly evaluate prompt designs and workflows, saving us hours of development. This gave us the confidence to launch our virtual assistant in 14 U.S. markets.

Sebastian Lozano

Senior Product Manager, AI Product

Vellum made it so much easier to quickly validate AI ideas and focus on the ones that matter most. The product team can build POCs with little to no assistance within a week!”