ExaExa.ai
|
voyage-code-3MongoDB
|
|||||
Related Products
|
||||||
About
The Exa API retrieves the best content on the web using embeddings-based search.
Exa understands meaning, giving results search engines can’t.
Exa uses a novel link prediction transformer to predict links which match the meaning of a prompt.
For queries that need semantic understanding, search with our SOTA web embeddings model over our custom index. For all other queries, we offer keyword-based search.
Stop learning how to web scrape or parse HTML. Get the clean, full text of any page in our index, or intelligent embeddings-ranked highlights related to a query.
Select any date range, include or exclude any domain, select a custom data vertical, or get up to 10 million results..
|
About
Voyage AI introduces voyage-code-3, a next-generation embedding model optimized for code retrieval. It outperforms OpenAI-v3-large and CodeSage-large by an average of 13.80% and 16.81% on a suite of 32 code retrieval datasets, respectively. It supports embeddings of 2048, 1024, 512, and 256 dimensions and offers multiple embedding quantization options, including float (32-bit), int8 (8-bit signed integer), uint8 (8-bit unsigned integer), binary (bit-packed int8), and ubinary (bit-packed uint8). With a 32 K-token context length, it surpasses OpenAI's 8K and CodeSage Large's 1K context lengths. Voyage-code-3 employs Matryoshka learning to create embeddings with a nested family of various lengths within a single vector. This allows users to vectorize documents into a 2048-dimensional vector and later use shorter versions (e.g., 256, 512, or 1024 dimensions) without re-invoking the embedding model.
|
|||||
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
|
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 an AI API to improve search
|
Audience
AI researchers and developers in search of a solution providing an embedding model for code retrieval
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$100 per month
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
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
Not Supported
|
|||||
Company InformationExa.ai
United States
exa.ai/
|
Company InformationMongoDB
Founded: 2007
United States
blog.voyageai.com/2024/12/04/voyage-code-3/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
AccessOwl
Supported
AgentKey
Supported
Agnost AI
Supported
Anything
Supported
BrainyAI
Supported
Composio
Supported
Disco.dev
Supported
Elasticsearch
Not Supported
Incredible
Supported
Metorial
Supported
|
Integrations
AccessOwl
Not Supported
AgentKey
Not Supported
Agnost AI
Not Supported
Anything
Not Supported
BrainyAI
Not Supported
Composio
Not Supported
Disco.dev
Not Supported
Elasticsearch
Supported
Incredible
Not Supported
Metorial
Not Supported
|
|||||
|
|
|