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Description

Faiss is a powerful library designed for the efficient search and clustering of dense vector data. It provides algorithms capable of searching through vector sets of varying sizes, even those that may exceed RAM capacity. Additionally, it includes tools for evaluation and fine-tuning parameters to optimize performance. Written in C++, Faiss offers comprehensive wrappers for Python, making it accessible for a broader range of users. Notably, many of its most effective algorithms are optimized for GPU execution, enhancing computational speed. This library is a product of Facebook AI Research, reflecting their commitment to advancing artificial intelligence technologies. Its versatility makes Faiss a valuable resource for researchers and developers alike.

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 
Haystack Yes 
HoneyHive No 
Hugging Face No 
IBM watsonx.data No 
Java No 
LLMWare.ai Yes 
Milvus No 
OpenAI No 
PyTorch No 

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 
Haystack No 
HoneyHive Yes 
Hugging Face Yes 
IBM watsonx.data Yes 
Java Yes 
LLMWare.ai No 
Milvus Yes 
OpenAI Yes 
PyTorch Yes 

Pricing Details

Free
Open source
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 Yes 
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 No 

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

Meta

Founded

2004

Country

United States

Website

faiss.ai/

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