Related Products
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About
TopK is a serverless, cloud-native, document database built for powering search applications.
It features native support for both vector search (vectors are simply another data type) and keyword search (BM25-style) in a single, unified system. With its powerful query expression language, TopK enables you to build reliable search applications (semantic search, RAG, multi-modal, you name it) without juggling multiple databases or services.
Our unified retrieval engine will evolve to support document transformation (automatically generate embeddings), query understanding (parse metadata filters from user query), and adaptive ranking (provide more relevant results by sending “relevance feedback” back to TopK) under one unified roof.
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About
Open-source vector similarity search for Postgres.
Supports exact and approximate nearest neighbor search for L2 distance, inner product, and cosine distance.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
AI-driven applications, RAG, search engines
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Audience
Developers interested in an open source vector similarity search for Postgres
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationTopK
Founded: 2024
United States
www.topk.io
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Company Informationpgvector
github.com/pgvector/pgvector
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Categories |
Categories |
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Integrations
Apify
Cake AI
Langtrace
MyDBA.dev
Nebius Token Factory
PostgreSQL
Python
Supabase
Superexpert.AI
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Integrations
Apify
Cake AI
Langtrace
MyDBA.dev
Nebius Token Factory
PostgreSQL
Python
Supabase
Superexpert.AI
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