A lightweight vector database alternative using HNSW and binary storage.

Project description

VectorMorph

pip install vectormorph

ToDo

ToDo

A hypervector database that allows LLMs to efficiently search multiple loaded documents.

0.1.3

Oct 8, 2023

0.1.2

Oct 7, 2023

0.1.1

Oct 7, 2023

This version

0.1.0

Sep 10, 2023

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Sep 10, 2023 Source

Uploaded Sep 10, 2023 Python 3

Hashes for vectormorph-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`fe5e6510e01fb2a620f6e32b5f3a98ef5e506f0f7f35e82072ea5e1c8d92a65c`
MD5	`05403c8bb7883e9d4183c9515e3f94fd`
BLAKE2b-256	`d0e892ea7adbae3f1c9c092b727639862fdedeae23224a26736e314256b5a12f`

Hashes for vectormorph-0.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`ccbdfd311eb77b82ea2b95cc69ac34e80157c2bddfadf3d37a3a7ed652d3f589`
MD5	`ab5c51415f6c1cee7650e9f351dfbd9d`
BLAKE2b-256	`e1d8957e3f9d205cdfe08aab07f79c7a5b2db5283b51f5a281173a1e841438c6`