vectorlite 0.3.3

Lightweight vector database.

VectorLiteDB

VectorLite is a simple vector database powered by sentence-transformers and hnswlib, designed for efficient storage and search of textual data.

🚀 Quick Install

pip install vectorlite

Usage

Run as api server

1. serve vectorlite

2. Navigate to http://localhost:4440/docs

Run integrated in code

Initialization

from vectorlite import VectorLite
vl = VectorLite()

Adding Data

data = ["Sample text 1", "Sample text 2", "Another example"]
vl.create(data)

Read All Data

all_data = vl.read_all()

To limit the number of records returned:

limited_data = vl.read_all(max_items=2)

Read Specific Data by Index

item = vl.read(1)

Update Data by Index

vl.update(1, "Updated sample text 2")

Delete Data by Index

vl.delete(1)

Similarity Search

results = vl.similarity_search("A related sample text", k=3)

Semantic Search

results = vl.semantic_search("A related sample text", k=3)