xsfa/pointstorm
Real-time embeddings for data on the move
Continuously transforms incoming text data, like customer feedback or social media posts, into numerical representations as it arrives. It takes a stream of text from Kafka and outputs real-time embeddings that can power live analytics or recommendation engines. This is for data engineers or data scientists who need to process dynamic text streams for immediate use.
No commits in the last 6 months. Available on PyPI.
Use this if you need to convert a constant flow of text data into machine-readable numerical vectors (embeddings) in real-time, especially when using Kafka.
Not ideal if you're processing static, batch-oriented text files or if your data sources are not stream-based like Kafka.
Stars
21
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 16, 2023
Commits (30d)
0
Dependencies
10
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/xsfa/pointstorm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.