Metadata-Version: 2.4
Name: padmadb
Version: 0.1.0
Summary: A blazing-fast, lightweight in-memory vector database built in pure Python.
Home-page: https://github.com/herambjaipurkar/Padmadb
Author: Heramb Rajesh Jaipurkar
Author-email: heramb999jaipurkar@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.24.0
Requires-Dist: fastapi>=0.100.0
Requires-Dist: uvicorn>=0.23.0
Requires-Dist: pydantic>=2.0.0
Requires-Dist: requests>=2.31.0
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A blazing-fast, lightweight in-memory vector database built in pure Python and NumPy.
                        Pinecone, Milvus, and Weaviate are incredible for enterprise-scale billions of vectors. But when you are building local AI apps, testing RAG pipelines, or running lightweight microservices, spinning up a massive cloud infrastructure is overkill.
                        PadmaDB solves this by providing a hyper-fast, zero-dependency (beyond NumPy/FastAPI) vector search engine that runs locally and persists to disk.
                    
