Bridge
Vec2Vec translation layer
Already have vectors in Pinecone, Weaviate, or Chroma? Bridge unifies them without reindexing. Our Vec2Vec models translate between embedding spaces in real-time.
Zero Reindexing
Use your existing vector databases as-is. Bridge translates on the fly without requiring re-embedding.
Embedding Alignment
Proprietary Vec2Vec models align vector spaces across different embedding providers.
Hybrid Search
Combine dense vectors with sparse BM25 for optimal retrieval quality.
Cross-DB Queries
Query Pinecone and Weaviate in the same request. Results are merged and ranked.
Namespace Isolation
Tenant isolation at the vector level. Perfect for multi-tenant applications.
Embedding Versioning
Track embedding model versions. Migrate between models without downtime.
import { MetalogueClient } from '@metalogue/sdk';
const client = new MetalogueClient({
apiKey: process.env.METALOGUE_API_KEY
});
// Create connectors for your vector databases
await client.createConnector({
connector_type: 'pinecone',
display_name: 'Docs Index',
credentials: { api_key: process.env.PINECONE_KEY },
settings: { index: 'docs-prod' }
});
// Query seamlessly across all bridged sources
const response = await client.query(
'Authentication best practices',
{ limit: 5 }
);