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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Fineas is an innovative financial platform that leverages AI to deliver immediate responses to various financial inquiries, tailored portfolio enhancement suggestions, and asset tracking, all consolidated within a single user-friendly interface. Users benefit from the ability to integrate live charts into their dashboards, which allows for effortless navigation across different timeframes, the addition of indicators, and the observation of real-time price movements. The platform’s chatbot functionality empowers users to pose straightforward questions about their investments and receive prompt replies, complete with visual aids and customized advice, effectively removing uncertainty from decision-making. In addition, an upcoming feature for portfolio optimization will enable users to establish personalized targets, monitor their advancement, and gain AI-generated insights to ensure their investments remain aligned with their objectives. With its foundation built on advanced technologies like Akash, Docker, MongoDB, OpenAI, Pinecone, and Polygon, Fineas is poised to enhance the user experience further by continuously integrating feedback and improving functionality. As a result, this platform not only simplifies financial management but also empowers users to make informed investment choices with confidence.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenAI
Pinecone
Amazon Web Services (AWS)
Cohere
Confluent
Docker
Estuary Flow
GitHub Copilot
Google Cloud Platform
LangChain
Langtrace
New Relic
Nexla
Nuclia
Polygon
Pulumi
TruLens
Unstructured
Vercel
Voyage AI

Integrations

OpenAI
Pinecone
Amazon Web Services (AWS)
Cohere
Confluent
Docker
Estuary Flow
GitHub Copilot
Google Cloud Platform
LangChain
Langtrace
New Relic
Nexla
Nuclia
Polygon
Pulumi
TruLens
Unstructured
Vercel
Voyage AI

Pricing Details

$9.99 per month
Free Trial
Free Version

Pricing Details

$25 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

Fineas

Country

United States

Website

fineas.ai/

Vendor Details

Company Name

Pinecone

Founded

2019

Country

United States

Website

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

Product Features

Product Features

Alternatives

Alternatives

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