+
+

Related Products

  • Gemini Enterprise Agent Platform
    962 Ratings
    Visit Website
  • Clazar
    93 Ratings
    Visit Website
  • dbt
    251 Ratings
    Visit Website
  • KrakenD
    71 Ratings
    Visit Website
  • Nasdaq Metrio
    14 Ratings
    Visit Website
  • SKU Science
    16 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,018 Ratings
    Visit Website
  • Stigg
    25 Ratings
    Visit Website
  • RunPod
    206 Ratings
    Visit Website
  • Striven
    232 Ratings
    Visit Website

About

Pinecone Rerank V0 is a cross-encoder model optimized for precision in reranking tasks, enhancing enterprise search and retrieval-augmented generation (RAG) systems. It processes queries and documents together to capture fine-grained relevance, assigning a relevance score from 0 to 1 for each query-document pair. The model's maximum context length is set to 512 tokens to preserve ranking quality. Evaluations on the BEIR benchmark demonstrated that Pinecone Rerank V0 achieved the highest average NDCG@10, outperforming other models on 6 out of 12 datasets. For instance, it showed up to a 60% boost on the Fever dataset compared to Google Semantic Ranker and over 40% on the Climate-Fever dataset relative to cohere-v3-multilingual or voyageai-rerank-2. The model is accessible through Pinecone Inference and is available to all users in public preview.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers looking for a tool to enhance the relevance and accuracy of search results in enterprise applications, particularly those leveraging RAG systems

Audience

AI researchers and developers in search of a solution providing an embedding model for code retrieval

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$25 per month
Free Version
Free Trial

Pricing

No information available.
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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Pinecone
Founded: 2019
United States
www.pinecone.io/blog/pinecone-rerank-v0-announcement/

Company Information

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

Alternatives

Alternatives

Voyage AI

Voyage AI

MongoDB
voyage-4-large

voyage-4-large

Voyage AI
Codestral Embed

Codestral Embed

Mistral AI

Categories

Categories

Integrations

Amazon Bedrock
Cloudera
Context Data
Databricks
Fleak
Flowise
Google Cloud Platform
Hugging Face
Instill
Jina AI
LangChain
Matillion
Milvus
New Relic
Nexla
Nuclia
OpenAI
Pinecone
StreamNative
Voyage AI

Integrations

Amazon Bedrock
Cloudera
Context Data
Databricks
Fleak
Flowise
Google Cloud Platform
Hugging Face
Instill
Jina AI
LangChain
Matillion
Milvus
New Relic
Nexla
Nuclia
OpenAI
Pinecone
StreamNative
Voyage AI
Claim Pinecone Rerank v0 and update features and information
Claim Pinecone Rerank v0 and update features and information
Claim voyage-code-3 and update features and information
Claim voyage-code-3 and update features and information