cohere-ai/sandbox-toy-semantic-search
A demonstration of how a toy (but usable!) semantic search engine can be quickly built using Cohere's platform.
This project helps you build a search engine for your documents, allowing you to find specific information by asking natural language questions. You put in your collection of text documents (like technical manuals or internal wikis), and it creates a search index. When you ask a question, it outputs the most relevant paragraphs from your original text. This is ideal for knowledge workers, researchers, or anyone needing to quickly find answers within their structured text resources.
117 stars. No commits in the last 6 months.
Use this if you need to quickly build a search tool to find answers within structured text documents like technical documentation, FAQs, or internal knowledge bases.
Not ideal if you need to analyze freeform text like novels or highly narrative content where answers are spread across multiple paragraphs, as it focuses on single-paragraph relevance.
Stars
117
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jul 25, 2023
Commits (30d)
0
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