Advanced retrieval models
Search every modality in one vector space
Embed maps text, images, and audio into a single shared representation. Index once, query in any modality, and retrieve the most relevant results in milliseconds — at any scale.
Top match relevance
Powering search for the teams building what users find next
Relevant results, retrieved instantly
Match meaning across millions of vectors in moments — not minutes — with retrieval models tuned for every modality.
5/12, 9:15 AM
Embed, find catalog items closest to this product photo.
Harriet 9:16 AM
@Embed which results rank closest to the uploaded query image?
Embed APP 9:16 AM
The nearest neighbors to your query include:
- A product photo of a charcoal wool overcoat, ranked top match
- Two catalog images with near-identical embeddings to the query
- A short voice memo describing the same item, matched cross-modally
Search relevance lift
0.0x
Find what users mean
Semantic retrieval more than doubles top-result relevance over keyword search.
Faster lookups, sharper relevance, and a smaller index. Retrieval that holds up as your corpus grows into the billions.
Want the full picture on Embed benchmarks?
Download the retrieval benchmark reportConnected to your data stack
Embed, index, and retrieve right where your content already lives.
Vector database connectors
Stream Embed vectors straight into Pinecone, Weaviate, pgvector, and dozens of other stores — no glue code, no format wrangling.
APIs & MCP server
Embed and query through open APIs, or wire the Embed Model Context Protocol server into agents for scalable, secure retrieval.
Batch & streaming pipelines
Index millions of items in bulk or embed new content the moment it lands — the same model powers both paths.
“Embed let us drop three separate search systems and run text, image, and audio retrieval from one model. Relevance jumped overnight, and our query latency is the lowest it has ever been.”
MERIDIAN
Renata Voss
VP, Search Engineering
Data residency & retention
Control where vectors and source content are stored and for how long, in line with your policies and regional standards.
Granular access controls
Scope index and query access per team, role, and namespace to keep retrieval boundaries tight.
SOC 2 Type II
Independent audits confirm our security controls meet the highest industry standards, year after year.
PII redaction & audit logs
Strip sensitive fields before embedding and keep a full record of every index and query call.
AI management certified
Embed is certified against the global standard for responsible AI management systems.
HIPAA aligned
Our HIPAA program reflects a commitment to protecting sensitive health information end to end.
BREVA
How a marketplace made visual search feel effortless
A global retail marketplace let shoppers search with a photo instead of words. Embed maps every listing image to a shared vector space, so the right products surface in one tap.
Resources for builders
Everything you need to evaluate Embed for your search workloads.