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features
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support

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Description

VectorDB is a compact Python library designed for the effective storage and retrieval of text by employing techniques such as chunking, embedding, and vector search. It features a user-friendly interface that simplifies the processes of saving, searching, and managing text data alongside its associated metadata, making it particularly suited for scenarios where low latency is crucial. The application of vector search and embedding techniques is vital for leveraging large language models, as they facilitate the swift and precise retrieval of pertinent information from extensive datasets. By transforming text into high-dimensional vector representations, these methods enable rapid comparisons and searches, even when handling vast numbers of documents. This capability significantly reduces the time required to identify the most relevant information compared to conventional text-based search approaches. Moreover, the use of embeddings captures the underlying semantic meaning of the text, thereby enhancing the quality of search outcomes and supporting more sophisticated tasks in natural language processing. Consequently, VectorDB stands out as a powerful tool that can greatly streamline the handling of textual information in various applications.

Description

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Azure Marketplace No 
ChatGPT No 
ChatGPT Plus No 
ChatGPT Pro No 
Cohere No 
Coral No 
Google Cloud Platform No 
HoneyHive No 
Hugging Face No 
IBM watsonx.data No 
Java No 
Lamatic.ai Yes 
Milvus No 
OpenAI No 
PyTorch No 
Python Yes 

Integrations

Amazon Web Services (AWS) Yes 
Azure Marketplace Yes 
ChatGPT Yes 
ChatGPT Plus Yes 
ChatGPT Pro Yes 
Cohere Yes 
Coral Yes 
Google Cloud Platform Yes 
HoneyHive Yes 
Hugging Face Yes 
IBM watsonx.data Yes 
Java Yes 
Lamatic.ai No 
Milvus Yes 
OpenAI Yes 
PyTorch Yes 
Python No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$0
Zilliz Cloud on AWS
Compute Unit (CU) - $0.259 / hour
Storage - $0.025 / GB per month

Zilliz Cloud on Google Cloud
Compute Unit (CU) - $0.215 / hour
Storage - $0.02 / GB per month
Free Trial Yes 
Free Version No 

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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

Business Hours Yes 
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 Yes 

Vendor Details

Company Name

VectorDB

Country

United States

Website

vectordb.com

Vendor Details

Company Name

Zilliz

Founded

2017

Country

United States

Website

zilliz.com

Product Features

Product Features

Database

Backup and Recovery Yes 
Creation / Development No 
Data Migration Yes 
Data Replication No 
Data Search Yes 
Data Security Yes 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries Yes 
Relational Interface No 
Virtualization No 

Alternatives

Alternatives

Embeddinghub Reviews

Embeddinghub

Featureform
Milvus Reviews

Milvus

Zilliz