colonelwatch/abstracts-search
Semantic search engine indexing 110 million academic publications
This project offers a specialized search engine for academic publications. You can input natural language queries and receive a ranked list of relevant academic papers based on their abstracts, along with their OpenAlex IDs. It's designed for researchers, scientists, students, or anyone needing to discover specific academic literature across various fields.
102 stars.
Use this if you need to quickly find academic papers by describing your research interest in a sentence, rather than relying solely on keywords.
Not ideal if you need to perform detailed bibliometric analysis, track citation networks, or require full-text search capabilities, as it primarily indexes abstracts and provides OpenAlex IDs.
Stars
102
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/colonelwatch/abstracts-search"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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