LanceDB Has a Free API — Here's How to Build Serverless AI Search with Zero Infrastructure

Why LanceDB? LanceDB is a serverless vector database that runs embedded — no server process needed. Built on Lance columnar format, it's fast for both vector search and analytics. Free and open source. LanceDB Cloud has a free tier. Getting Started pip install lancedb import lancedb import numpy as np db = lancedb . connect ( " ./my_lancedb " ) # Create table with data data = [ { " text " : " Machine learning transforms industries " , " category " : " AI " , " vector " : np . random . rand ( 128 ). tolist ()}, { " text " : " React 19 introduces new features " , " category " : " Frontend " , " vector " : np . random . rand ( 128 ). tolist ()}, { " text " : " Kubernetes simplifies deployment " , " category " : " DevOps " , " vector " : np . random . rand ( 128 ). tolist ()} ] table = db . create_table ( " articles " , data ) # Vector search results = table . search ( np . random . rand ( 128 ). tolist ()). limit ( 3 ). to_pandas () print ( results [[ " text " , " category " , " _distance