Semantic Search on Wikipedia with Upstash Vector

A semantic search tool for Wikipedia based on Upstash Vector.

CommonProductProgrammingSearchSemantic

This project, built with Next.js, leverages Upstash Vector to provide semantic search capabilities for Wikipedia. It features optimized loading of the custom Google font, Inter, to enable efficient search and retrieval of Wikipedia content.

Semantic Search on Wikipedia with Upstash Vector

Supports the Next.js framework
offering rapid development and deployment capabilities.
Integrates Upstash Vector for efficient vector search.
Automatically optimizes and loads the Inter font to enhance page display.
Provides semantic search functionality
improving the accuracy of user queries.
Supports custom environment configurations to accommodate various development needs.
Offers detailed development documentation and resource links for ease of learning and usage.

This product is suitable for programmers
data scientists
and anyone in need of deep search and analysis of Wikipedia content.

Developers can use this tool to quickly search for relevant technical documentation in Wikipedia.
Data scientists can utilize the tool for large-scale semantic analysis of text data.
Educational institutions can use it as a teaching aid
helping students better understand complex concepts.

1. Visit the project page and clone or download the project code.
2. Set up your local development environment according to the project documentation.
3. Run the development server using the command `yarn dev`
`pnpm dev`
or `bun dev`.

Visit

Semantic Search on Wikipedia with Upstash Vector Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

Semantic Search on Wikipedia with Upstash Vector Visit Trend

Semantic Search on Wikipedia with Upstash Vector Visit Geography

Semantic Search on Wikipedia with Upstash Vector Traffic Sources

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