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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Orchard serves as an innovative second brain tailored for knowledge workers, functioning as a conversational AI assistant that adeptly comprehends intricate inquiries while referencing your own expertise. While Orchard Classic remains unparalleled as an AI text editor, it allows users to pose questions about their documents, regardless of their storage location. By combining neural search capabilities with AI synthesis, Orchard provides an exceptional method for deriving insights from one's own work. This intelligent text editor not only completes your sentences but also proposes relevant ideas, drawing upon your existing institutional knowledge. The evolution of AI text editing means that it is now attuned to the context of your work. Our vision for Orchard is to act as a personal analyst that truly comprehends both you and your professional endeavors. Each time you interact with Orchard, it evaluates how to leverage its understanding of your preferences and history. It’s akin to ChatGPT, but with the added advantage of citing relevant resources tailored to your specific needs. Furthermore, Orchard excels in dissecting complex projects more effectively than ChatGPT, creating a powerful search engine for all your data. As we continue to enhance Orchard, we are focused on integrating its capabilities with various businesses, ensuring it becomes an indispensable tool in the workplace. This will lead to more efficient workflows and improved productivity for users.

Description

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CareBridge
Datavolo
IBM watsonx.data
Langflow

Integrations

CareBridge
Datavolo
IBM watsonx.data
Langflow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Orchard

Country

United States

Website

www.orchard.ink/

Vendor Details

Company Name

Vectara

Founded

2020

Country

United States

Website

vectara.com

Product Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Alternatives

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