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Search-Function-Test

Test project using Jev to build chat-style search over a blog with hundreds of articles.

Appprototype
View on GitHub ↗

This summary is based on how curated lists describe the project; its README was not available to review.

Overview

Search-Function-Test is a small test project. According to its directory summary, it uses Jev to build a search function for a blog or article site with hundreds of articles, so users can ask questions in a chat-like way and find related answers and articles.

No README was fetched, so the retrieval method, how Jev is used (for example relevance scoring of candidate articles) and the stack are unknown.

What the decision model decides

TypeQuestionAnswers
ScoreHow relevant is this article to the user's question?(inferred)—

How it works

  1. User asks a question
  2. Retrieve candidate articles
  3. Ask Jev to judge relevance
  4. Return the best matching articles

Strengths

  • Illustrates decision-model relevance for site search

Caveats

  • Test project; no README available
  • Implementation unknown

At a glance

Type
App
Status
prototype

Use cases and integrations

How curated lists describe it

  • A test project based on Jev AI, the goal is to build a search function for a blog/article website that has 100s of articles to search from, So the user can actually use the search as chat to question anything and find related answers/articles.

    hellogumbo/awesome-jev

Frequently asked questions

What does this project do?

Builds chat-style search over a blog's articles with Jev.

Is it production-ready?

It is described as a test project.

How does Jev fit?

Likely by judging article relevance; details are not documented.

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