Sumanth0019/Semantic-Search-Engine
The main objective of this project is to develop a semantic search engine that retrieves context-aware results using meaning-based matching instead of keywords. Leveraged Hugging Face transformer embeddings for vector generation, stored embeddings in a vector database, and implemented similarity search and retrieval workflows using LangChain.
20
Stars
0
Forks
17.0
Radar Score
Declining
Momentum
Scoring Breakdown
Impact5.3
Velocity18.4
Health33.7
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
17.0
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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