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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Integrate semantic relevance alongside user feedback to effectively extract the best document segments in your retrieval-augmented generation framework. Additionally, merge semantic relevance with document recency in your search engine, as newer content is often more precise. Create a dynamic, personalized e-commerce product feed that utilizes user vectors derived from SKU embeddings that the user has engaged with. Analyze and identify behavioral clusters among your customers through a vector index housed in your data warehouse. Methodically outline and load your data, utilize spaces to build your indices, and execute queries—all within the confines of a Python notebook, ensuring that the entire process remains in-memory for efficiency and speed. This approach not only optimizes data retrieval but also enhances the overall user experience through tailored recommendations.

Description

Weaviate is an open-source vector database built for the AI era, giving teams one platform for vector search, retrieval-augmented generation, and agent memory. Store data objects together with embeddings from your preferred machine learning models and scale effortlessly to billions of objects. Import your own vectors or rely on Weaviate's built-in vectorization, then search across vector, keyword, and hybrid methods to get highly relevant results, even when filters are applied. By connecting to today's leading large language models, Weaviate helps you build grounded search and question-answering over your own data. The platform reaches well beyond storage: its Query Agent translates plain-language questions into accurate queries with citations, Engram delivers managed long-term memory for AI agents, and Weaviate Embeddings removes the work of running your own embedding pipeline. Available as self-hosted open source or fully managed Weaviate Cloud across AWS, GCP, and Azure, backed by SOC 2 Type II, native multi-tenancy, replication, and role-based access control. From semantic search to recommendation to fully agentic applications, Weaviate is the foundation to ship AI products faster.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace No 
Agno No 
Amazon Web Services (AWS) No 
Anthropic No 
Astro by Astronomer No 
Boomi No 
Claude Code No 
Comet No 
Confluent No 
Context Data No 
Databricks No 
Dify No 
FriendliAI No 
Google Cloud Marketplace No 
Grok No 
IBM API Connect No 
Ollama No 
Semantic Kernel No 
Snowflake No 
Tadata No 

Integrations

AWS Marketplace Yes 
Agno Yes 
Amazon Web Services (AWS) Yes 
Anthropic Yes 
Astro by Astronomer Yes 
Boomi Yes 
Claude Code Yes 
Comet Yes 
Confluent Yes 
Context Data Yes 
Databricks Yes 
Dify Yes 
FriendliAI Yes 
Google Cloud Marketplace Yes 
Grok Yes 
IBM API Connect Yes 
Ollama Yes 
Semantic Kernel Yes 
Snowflake Yes 
Tadata Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Superlinked

Founded

2021

Country

United States

Website

superlinked.com

Vendor Details

Company Name

Weaviate

Founded

2019

Country

The Netherlands

Website

weaviate.io

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