primaryobjects/semantic-search
Semantic search web app using the Large Language Model (LLM) Cohere for embeddings to match context and meaning, rather than keywords.
This tool helps you search through a collection of documents by understanding their meaning and context, rather than just matching keywords. You input a search query and a list of documents, and it highlights the document that is most semantically similar to your query. Anyone who needs to find relevant information within a body of text, like a researcher or content analyst, would find this useful.
No commits in the last 6 months.
Use this if you need to find documents based on the underlying meaning of your query, even if the exact keywords aren't present.
Not ideal if you strictly need exact keyword matches or are working with a very small, well-indexed collection of documents.
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9
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Language
C#
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Category
Last pushed
Jul 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/primaryobjects/semantic-search"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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