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    Why Vector Search Engine

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    Sold by: Urata Soft 
    Deployed on AWS
    This engine extracts emotion-driven context from searches, inquiries, and posts, verifying its accuracy to enhance man-machine interfaces. It successfully retrieves nuanced information that traditional fixed-pattern keyword searches cannot detect.

    Overview

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    Why VectorEngine dynamically extracts the "WHY" (motives/emotions) from global text inputs using LLMs and 3072-dimensional embeddings. It transcends traditional keyword limitations by applying cosine similarity to deliver deeply relevant, intent-based search results. Furthermore, it utilizes XAI (Explainable AI) to generate transparent, natural-language evidence for all automated selections. Ideal for SNS moderation, customer support, and HR, it bridges the human-machine communication gap effectively. Please refer to the specifications stored at the following link. https://docs.google.com/spreadsheets/d/19BJYMK6__RRokLtswzTZLgkhwLrmxlrA/edit?usp=drive_link&ouid=102842108128709956183&rtpof=true&sd=true 

    Highlights

    • Enhances search efficiency by extracting true user intent and emotional context from text using LLMs and 3072-dimensional vectors.
    • Transcends keyword search limits by retrieving intent-based information via cosine similarity.
    • Provides transparent, natural-language evidence for results using Explainable AI (XAI).

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 2023

    Deployed on AWS
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    Pricing

    Why Vector Search Engine

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (4)

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    Dimension
    Cost/hour
    t3.medium
    Recommended
    $1.00
    c5.large
    $1.00
    t3.large
    $1.00
    m5.large
    $1.00

    Vendor refund policy

    Due to the nature of the AMI product, we do not offer refunds.

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    Vendor terms and conditions

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Initial release of the Why Vector Search Engine

    Additional details

    Usage instructions

    Connect: ssh -i <your-key.pem> ec2-user@<instance-ip> Setup: Create .env (set OPENAI_API_KEY) and input.txt Run & Query: /usr/local/bin/trinity_rust --why output.json input.txt /usr/local/bin/trinity_rust --vec output.json vector.json /usr/local/bin/trinity_rust --query "Your question?" vector.json

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