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Description

Pinecone Rerank V0 is a cross-encoder model specifically designed to enhance precision in reranking tasks, thereby improving enterprise search and retrieval-augmented generation (RAG) systems. This model processes both queries and documents simultaneously, enabling it to assess fine-grained relevance and assign a relevance score ranging from 0 to 1 for each query-document pair. With a maximum context length of 512 tokens, it ensures that the quality of ranking is maintained. In evaluations based on the BEIR benchmark, Pinecone Rerank V0 stood out by achieving the highest average NDCG@10, surpassing other competing models in 6 out of 12 datasets. Notably, it achieved an impressive 60% increase in performance on the Fever dataset when compared to Google Semantic Ranker, along with over 40% improvement on the Climate-Fever dataset against alternatives like cohere-v3-multilingual and voyageai-rerank-2. Accessible via Pinecone Inference, this model is currently available to all users in a public preview, allowing for broader experimentation and feedback. Its design reflects an ongoing commitment to innovation in search technology, making it a valuable tool for organizations seeking to enhance their information retrieval capabilities.

Description

Scorable is an innovative platform utilizing AI for evaluation and monitoring, specifically crafted to assist developers in assessing, regulating, and enhancing the performance of applications developed with large language models. The platform empowers teams to construct personalized automated evaluators, often termed AI "judges," which evaluate the responses of AI systems to users and determine if the outputs align with established quality metrics such as accuracy, relevance, helpfulness, tone, and adherence to policies. Developers can articulate their measurement objectives in straightforward language, and Scorable then creates a customized evaluation framework that tests AI outputs against specific contextual criteria, moving beyond standard benchmarks. These evaluators can be seamlessly integrated into the application's code, enabling continuous oversight of AI systems, including chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents, even while they are functioning in live production settings. This capability ensures that developers maintain high standards for AI performance over time and can swiftly adapt to evolving requirements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Bedrock
Anyscale
Box
Cloudera
Cohere
Context Data
Datadog
Gathr.ai
Instill
Jina AI
Langtrace
Llama
Matillion
Model Context Protocol (MCP)
Nuclia
OpenAI
Python
Snowflake
StreamNative
Traceloop

Integrations

Amazon Bedrock
Anyscale
Box
Cloudera
Cohere
Context Data
Datadog
Gathr.ai
Instill
Jina AI
Langtrace
Llama
Matillion
Model Context Protocol (MCP)
Nuclia
OpenAI
Python
Snowflake
StreamNative
Traceloop

Pricing Details

$25 per month
Free Trial
Free Version

Pricing Details

$19 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Pinecone

Founded

2019

Country

United States

Website

www.pinecone.io/blog/pinecone-rerank-v0-announcement/

Vendor Details

Company Name

Scorable

Country

Finland

Website

scorable.ai/

Product Features

Product Features

Alternatives

Alternatives

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