upstash/wikipedia-semantic-search
A semantic search system indexing Wikipedia articles with vector embeddings and serving a RAG chatbot powered by Llama 3.
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The project implements a semantic search engine over Wikipedia by embedding articles using the BGE-M3 multilingual model and indexing 144+ million vectors in Upstash Vector database. It provides cross-lingual search capabilities and integrates with a RAG chatbot built on the Upstash RAG Chat SDK, which leverages Meta’s Llama 3 model to generate context-aware responses from retrieved Wikipedia content.
Frequently asked
- What is upstash/wikipedia-semantic-search?
- A semantic search system indexing Wikipedia articles with vector embeddings and serving a RAG chatbot powered by Llama 3.
- Is wikipedia-semantic-search open source?
- Yes — upstash/wikipedia-semantic-search is open source, released under the MIT license.
- What language is wikipedia-semantic-search written in?
- upstash/wikipedia-semantic-search is primarily written in TypeScript.
- How popular is wikipedia-semantic-search?
- upstash/wikipedia-semantic-search has 471 stars on GitHub.
- Where can I find wikipedia-semantic-search?
- upstash/wikipedia-semantic-search is on GitHub at https://github.com/upstash/wikipedia-semantic-search.