ericmillsio/whiplash

Serverless, lightweight, and fast vector database on top of DynamoDB

30
/ 100
Emerging

Whiplash helps developers working with vector embeddings by providing a serverless, lightweight, and fast vector store. It takes numerical vector data as input and allows you to store and quickly retrieve similar vectors, acting as a backend for applications that need to search high-dimensional data. This is ideal for backend developers or data engineers who need to manage and search vector embeddings without managing complex infrastructure.

No commits in the last 6 months.

Use this if you need a scalable, easy-to-deploy solution for storing and querying vector embeddings in a serverless environment like AWS DynamoDB.

Not ideal if you require a production-ready solution right now, as the project is still in its early development stages.

vector-database cloud-infrastructure data-storage machine-learning-backend similarity-search
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

25

Forks

2

Language

Python

License

Apache-2.0

Last pushed

Dec 07, 2023

Commits (30d)

0

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