raulcarlomagno/qdrant_vsql
Bringing some SQL to Qdrant
This project helps data professionals, MLOps engineers, and data scientists craft precise search filters for their Qdrant vector databases using familiar SQL `WHERE` clause syntax. You provide a SQL-like query string, and it outputs a Qdrant-native filter object, ready to retrieve specific data points based on their associated payload information. This simplifies complex filtering logic without needing to learn Qdrant's specific filter object structure.
No commits in the last 6 months. Available on PyPI.
Use this if you need to filter data points in your Qdrant vector database using intuitive SQL-like `WHERE` clauses for attributes like age, city, status, or date ranges.
Not ideal if your primary need is to manage Qdrant collections, perform vector similarity searches without any attribute-based filtering, or if you prefer Qdrant's native filter object structure.
Stars
15
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jun 17, 2025
Commits (30d)
0
Dependencies
2
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