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Description

The Exa API provides access to premier online content through an embeddings-focused search methodology. By comprehending the underlying meaning of queries, Exa delivers results that surpass traditional search engines. Employing an innovative link prediction transformer, Exa effectively forecasts connections that correspond with a user's specified intent. For search requests necessitating deeper semantic comprehension, utilize our state-of-the-art web embeddings model tailored to our proprietary index, while for more straightforward inquiries, we offer a traditional keyword-based search alternative. Eliminate the need to master web scraping or HTML parsing; instead, obtain the complete, clean text of any indexed page or receive intelligently curated highlights ranked by relevance to your query. Users can personalize their search experience by selecting date ranges, specifying domain preferences, choosing a particular data vertical, or retrieving up to 10 million results, ensuring they find exactly what they need. This flexibility allows for a more tailored approach to information retrieval, making it a powerful tool for diverse research needs.

Description

Voyage AI has unveiled voyage-code-3, an advanced embedding model specifically designed to enhance code retrieval capabilities. This innovative model achieves superior performance, surpassing OpenAI-v3-large and CodeSage-large by averages of 13.80% and 16.81% across a diverse selection of 32 code retrieval datasets. It accommodates embeddings of various dimensions, including 2048, 1024, 512, and 256, and provides an array of embedding quantization options such as float (32-bit), int8 (8-bit signed integer), uint8 (8-bit unsigned integer), binary (bit-packed int8), and ubinary (bit-packed uint8). With a context length of 32 K tokens, voyage-code-3 exceeds the limitations of OpenAI's 8K and CodeSage Large's 1K context lengths, offering users greater flexibility. Utilizing an innovative approach known as Matryoshka learning, it generates embeddings that feature a layered structure of varying lengths within a single vector. This unique capability enables users to transform documents into a 2048-dimensional vector and subsequently access shorter dimensional representations (such as 256, 512, or 1024 dimensions) without the need to re-run the embedding model, thus enhancing efficiency in code retrieval tasks. Additionally, voyage-code-3 positions itself as a robust solution for developers seeking to improve their coding workflow.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AccessOwl Yes 
AgentKey Yes 
Agnost AI Yes 
Anything Yes 
BrainyAI Yes 
Composio Yes 
Elasticsearch No 
Incredible Yes 
Metorial Yes 
Milvus No 
Motileo Yes 
Nango Yes 
OpenClaw Yes 
OpenTools Yes 
Qdrant No 
Rebolt.ai Yes 
Tadata Yes 
ToolSDK.ai Yes 
Vespa No 
Workers by Delos Yes 

Integrations

AccessOwl No 
AgentKey No 
Agnost AI No 
Anything No 
BrainyAI No 
Composio No 
Elasticsearch Yes 
Incredible No 
Metorial No 
Milvus Yes 
Motileo No 
Nango No 
OpenClaw No 
OpenTools No 
Qdrant Yes 
Rebolt.ai No 
Tadata No 
ToolSDK.ai No 
Vespa Yes 
Workers by Delos No 

Pricing Details

$100 per month
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
Live Rep (24/7) No 
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 No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Exa.ai

Country

United States

Website

exa.ai/

Vendor Details

Company Name

MongoDB

Founded

2007

Country

United States

Website

blog.voyageai.com/2024/12/04/voyage-code-3/

Product Features

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