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About

Vectorize is a platform designed to transform unstructured data into optimized vector search indexes, facilitating retrieval-augmented generation pipelines. It enables users to import documents or connect to external knowledge management systems, allowing Vectorize to extract natural language suitable for LLMs. The platform evaluates multiple chunking and embedding strategies in parallel, providing recommendations or allowing users to choose their preferred methods. Once a vector configuration is selected, Vectorize deploys it into a real-time vector pipeline that automatically updates with any data changes, ensuring accurate search results. The platform offers connectors to various knowledge repositories, collaboration platforms, and CRMs, enabling seamless integration of data into generative AI applications. Additionally, Vectorize supports the creation and updating of vector indexes in preferred vector databases.

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

Organizations searching for a solution to improve their AI capabilities by optimizing their vector search indexes

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 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

$0.57 per hour
Free Version Supported
Free Trial Supported

Pricing

No information available.
Free Version Not 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

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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 Supported
In Person Not Supported

Training

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

Company Information

Vectorize
Founded: 2023
United States
vectorize.io

Company Information

MongoDB
Founded: 2007
United States
blog.voyageai.com/2024/12/04/voyage-code-3/

Alternatives

Azure AI Search

Azure AI Search

Microsoft

Alternatives

Voyage AI

Voyage AI

MongoDB
voyage-4-large

voyage-4-large

Voyage AI
txtai

txtai

NeuML
Codestral Embed

Codestral Embed

Mistral AI

Categories

Categories

Embedding Models Supported

Integrations

Amazon S3 Supported
Azure Blob Storage Supported
Confluence Supported
Discord Supported
Dropbox Supported
Elasticsearch Not Supported
Google Cloud Storage Supported
Google Drive Supported
Intercom Supported
Milvus Not Supported
Qdrant Not Supported
Vespa Not Supported

Integrations

Amazon S3 Not Supported
Azure Blob Storage Not Supported
Confluence Not Supported
Discord Not Supported
Dropbox Not Supported
Elasticsearch Supported
Google Cloud Storage Not Supported
Google Drive Not Supported
Intercom Not Supported
Milvus Supported
Qdrant Supported
Vespa Supported
Claim Vectorize and update features and information
Claim Vectorize and update features and information
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Claim voyage-code-3 and update features and information