Codestral Embed

Codestral Embed

Mistral AI
Java

Java

Oracle
+

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About

Codestral Embed is Mistral AI's first embedding model, specialized for code, optimized for high-performance code retrieval and semantic understanding. It significantly outperforms leading code embedders in the market today, such as Voyage Code 3, Cohere Embed v4.0, and OpenAI’s large embedding model. Codestral Embed can output embeddings with different dimensions and precisions; for instance, with a dimension of 256 and int8 precision, it still performs better than any model from competitors. The dimensions of the embeddings are ordered by relevance, allowing users to choose the first n dimensions for a smooth trade-off between quality and cost. It excels in retrieval use cases on real-world code data, particularly in benchmarks like SWE-Bench, which is based on real-world GitHub issues and corresponding fixes, and Text2Code (GitHub), relevant for providing context for code completion or editing.

About

Cohere's Embed is a leading multimodal embedding platform designed to transform text, images, or a combination of both into high-quality vector representations. These embeddings are optimized for semantic search, retrieval-augmented generation, classification, clustering, and agentic AI applications.​ The latest model, embed-v4.0, supports mixed-modality inputs, allowing users to combine text and images into a single embedding. It offers Matryoshka embeddings with configurable dimensions of 256, 512, 1024, or 1536, enabling flexibility in balancing performance and resource usage. With a context length of up to 128,000 tokens, embed-v4.0 is well-suited for processing large documents and complex data structures. It also supports compressed embedding types, including float, int8, uint8, binary, and ubinary, facilitating efficient storage and faster retrieval in vector databases. Multilingual support spans over 100 languages, making it a versatile tool for global applications.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprise software teams needing a tool for semantic code search, retrieval-augmented generation, and code analytics across large-scale codebases

Audience

AI teams seeking a solution for generating high-quality, multimodal embeddings that enhance search accuracy and contextual understanding

Audience

Developers looking for a Programming Language solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.47 per image
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Mistral AI
Founded: 2023
United States
mistral.ai/news/codestral-embed

Company Information

Cohere
Founded: 2019
Canada
cohere.com/embed

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Alternatives

voyage-code-3

voyage-code-3

Voyage AI

Alternatives

Codestral Embed

Codestral Embed

Mistral AI

Alternatives

voyage-3-large

voyage-3-large

Voyage AI
voyage-code-3

voyage-code-3

Voyage AI
voyage-3-large

voyage-3-large

Voyage AI
LexVec

LexVec

Alexandre Salle

Categories

Categories

Categories

Integrations

AlphaCodium
AsyncAPI
Azure Marketplace
Baichuan-13B
GPT-4o
JPedal
Klocwork
McAnswers AI
Mimer SQL
Mimrr
Mockito
New Relic
PhpStorm
PowerMock
Python RPA
Qwiet AI
Roost.ai
RubyMotion
Tggl
WebKing

Integrations

AlphaCodium
AsyncAPI
Azure Marketplace
Baichuan-13B
GPT-4o
JPedal
Klocwork
McAnswers AI
Mimer SQL
Mimrr
Mockito
New Relic
PhpStorm
PowerMock
Python RPA
Qwiet AI
Roost.ai
RubyMotion
Tggl
WebKing

Integrations

AlphaCodium
AsyncAPI
Azure Marketplace
Baichuan-13B
GPT-4o
JPedal
Klocwork
McAnswers AI
Mimer SQL
Mimrr
Mockito
New Relic
PhpStorm
PowerMock
Python RPA
Qwiet AI
Roost.ai
RubyMotion
Tggl
WebKing
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