Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • NINJIO Reviews & Ratings
    416 Ratings
    Company Website
  • Azore CFD Reviews & Ratings
    26 Ratings
    Company Website
  • StackAI Reviews & Ratings
    54 Ratings
    Company Website
  • Cloudflare Reviews & Ratings
    2,042 Ratings
    Company Website
  • Couchbase Reviews & Ratings
    418 Ratings
    Company Website
  • Retool Reviews & Ratings
    593 Ratings
    Company Website
  • Denodo Reviews & Ratings
    387 Ratings
    Company Website
  • Planview AdaptiveWork Reviews & Ratings
    714 Ratings
    Company Website

What is Weaviate?

Weaviate is an open-source, AI-native database that helps organizations build and ship AI applications on a single, scalable foundation. It stores data objects alongside the vector embeddings produced by your chosen machine learning models and scales smoothly to billions of records. Teams can supply their own vectors or use Weaviate's built-in vectorization, then query their data through vector, keyword, and hybrid search to surface the most relevant results, even with complex filters. By integrating with leading large language models, Weaviate makes it straightforward to build retrieval-augmented generation, grounded question answering, and intelligent search over proprietary data. Beyond core retrieval, Weaviate offers a growing platform: the Query Agent converts natural-language questions into precise, cited queries; Engram provides managed memory that lets AI agents retain context over time; and Weaviate Embeddings handles vectorization as a managed service. Organizations can self-host under an open-source license or adopt fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, replication, and role-based access control. From semantic search and recommendations to agentic automation, Weaviate turns business data into AI-powered products.

What is Embeddinghub?

Effortlessly transform your embeddings using a single, robust tool designed for simplicity and efficiency. Explore a comprehensive database engineered to provide embedding functionalities that once required multiple platforms, thus streamlining the enhancement of your machine learning projects with Embeddinghub. Embeddings act as compact numerical representations of various real-world entities and their relationships, depicted as vectors. They are typically created by first defining a supervised machine learning task, often known as a "surrogate problem." The main objective of embeddings is to capture the essential semantics of their source inputs, enabling them to be shared and utilized across different machine learning models for improved learning outcomes. With Embeddinghub, this entire process is not only simplified but also remarkably intuitive, allowing users to concentrate on their primary tasks without the burden of excessive complexity. Furthermore, the platform empowers users to achieve superior results in their projects by facilitating quick access to powerful embedding solutions.

Media

Media

Integrations Supported

Airbyte
Amazon Bedrock
Amazon Web Services (AWS)
Anyscale
Azure OpenAI Service
Boomi
Composio
Cursor
DSPy
Firecrawl
FriendliAI
Gemini CLI
IBM API Connect
LlamaIndex
OpenAI
Parallel
Replicate
Semantic Kernel
Unstructured
Voyage AI

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io

Company Facts

Organization Name

Featureform

Date Founded

2019

Company Location

United States

Company Website

www.featureform.com/embeddinghub

Categories and Features

AI Memory Layers

Not specified

Context Engineering

Not specified

Vector Databases

Not specified

Categories and Features

Embedded Database

Not specified

Vector Databases

Not specified

Popular Alternatives

Popular Alternatives

Embeddinghub Reviews & Ratings

Embeddinghub

Featureform