Lightweight vector database.
Project description
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
-
serve vectorlite
-
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)
Project details
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