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About

Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook.

About

Open-source vector similarity search for Postgres. Supports exact and approximate nearest neighbor search for L2 distance, inner product, and cosine distance.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations wanting a data engineer solution to turn data into vector embeddings

Audience

Developers interested in an open source vector similarity search for Postgres

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Superlinked
Founded: 2021
United States
superlinked.com

Company Information

pgvector
github.com/pgvector/pgvector

Alternatives

Alternatives

Embeddinghub

Embeddinghub

Featureform
txtai

txtai

NeuML

Categories

Categories

Vector Databases Supported

Integrations

Apify Not Supported
Cake AI Not Supported
Langtrace Not Supported
MyDBA.dev Not Supported
Nebius Token Factory Not Supported
PostgreSQL Not Supported
Python Supported
Supabase Not Supported
Superexpert.AI Not Supported
Weaviate Supported

Integrations

Apify Supported
Cake AI Supported
Langtrace Supported
MyDBA.dev Supported
Nebius Token Factory Supported
PostgreSQL Supported
Python Not Supported
Supabase Supported
Superexpert.AI Supported
Weaviate Not Supported
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Claim Superlinked and update features and information
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