struct-chat/embedding
Vector Embedding Server in under 100 lines of code
This tool helps developers generate numerical representations (vector embeddings) for text documents of any length. It takes text as input and outputs a list of numbers that capture the meaning of the text, even if the document is very long. This is useful for engineers building applications that need to understand and compare documents, such as search engines or recommendation systems.
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Use this if you are a developer building an application that needs to convert text into numerical embeddings, especially for documents that might exceed standard model input limits.
Not ideal if you need a complete solution for storing, searching, and comparing documents based on their embeddings, as this only handles the embedding generation step.
Stars
22
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/struct-chat/embedding"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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