Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

KDB.AI serves as a robust knowledge-centric vector database and search engine, enabling developers to create applications that are scalable, dependable, and operate in real-time by offering sophisticated search, recommendation, and personalization features tailored for AI needs. Vector databases represent an innovative approach to data management, particularly suited for generative AI, IoT, and time-series applications, highlighting their significance, distinctive characteristics, operational mechanisms, emerging use cases, and guidance on how to begin utilizing them effectively. Additionally, understanding these elements can help organizations harness the full potential of modern data solutions.

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

3forge Yes 
AWS Marketplace No 
Amazon Bedrock No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
Cohere No 
Confluent No 
Context Data No 
Cursor No 
DSPy No 
Databricks No 
Dify No 
DigitalOcean No 
GitHub No 
Google Cloud Marketplace No 
Google Cloud Platform No 
Grok No 
LlamaIndex No 
OpenAI No 
Superlinked No 

Integrations

3forge No 
AWS Marketplace Yes 
Amazon Bedrock Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Cohere Yes 
Confluent Yes 
Context Data Yes 
Cursor Yes 
DSPy Yes 
Databricks Yes 
Dify Yes 
DigitalOcean Yes 
GitHub Yes 
Google Cloud Marketplace Yes 
Google Cloud Platform Yes 
Grok Yes 
LlamaIndex Yes 
OpenAI Yes 
Superlinked 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) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

KX Systems

Founded

1993

Country

United Kingdom

Website

kdb.ai/

Vendor Details

Company Name

Weaviate

Founded

2019

Country

The Netherlands

Website

weaviate.io

Product Features

Alternatives

Alternatives

Milvus Reviews

Milvus

Zilliz
Embeddinghub Reviews

Embeddinghub

Featureform