Faiss

Faiss

Meta
Milvus

Milvus

Zilliz
+
+

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About

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.

About

Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. With extensive isolation of individual system components, Milvus is highly resilient and reliable. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large-scale vector data. Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers interested in a similarity search library

Audience

Enterprises in need of a solution to manage their vector data and create a large scale similarity search service

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Company Information

Meta
Founded: 2004
United States
faiss.ai/

Company Information

Zilliz
Founded: 2020
United States
milvus.io

Alternatives

Alternatives

Categories

Vector Databases Supported

Categories

Database Supported
Vector Databases Supported

Integrations

Amazon S3 Not Supported
Apache Kafka Not Supported
Apache Pulsar Not Supported
Azure Blob Storage Not Supported
Cognee Not Supported
Database Mart Not Supported
Docker Not Supported
Haystack Supported
IBM watsonx.data Not Supported
Kubernetes Not Supported
LLMWare.ai Supported
MinIO Not Supported
Prompt Security Not Supported
Zilliz Cloud Not Supported

Integrations

Amazon S3 Supported
Apache Kafka Supported
Apache Pulsar Supported
Azure Blob Storage Supported
Cognee Supported
Database Mart Supported
Docker Supported
Haystack Not Supported
IBM watsonx.data Supported
Kubernetes Supported
LLMWare.ai Not Supported
MinIO Supported
Prompt Security Supported
Zilliz Cloud Supported
Claim Faiss and update features and information
Claim Faiss and update features and information
Claim Milvus and update features and information
Claim Milvus and update features and information