LanceDB is a serverless vector database that runs embedded in your application. No server process, no Docker — just pip install and go. Built on the Lance columnar format for maximum performance.
Why LanceDB is the Simplest Vector DB
A data scientist needed to prototype a RAG app but didn't want to run Docker or manage infrastructure. LanceDB runs entirely in-process — pip install, import, done.
Key Features:
- Serverless — No separate process, runs embedded
- Lance Format — Columnar storage optimized for ML workloads
- Multi-Modal — Store text, images, video, point clouds
- Full-Text Search — Combined with vector search
- Zero-Copy — Memory-mapped for fast access
Quick Start
pip install lancedb
import lancedb
db = lancedb.connect("~/.lancedb")
table = db.create_table("articles", data=[
{"text": "Python is great", "vector": [0.1, 0.2, 0.3]},
{"text": "Rust is fast", "vector": [0.4, 0.5, 0.6]}
])
results = table.search([0.1, 0.2, 0.35]).limit(5).to_list()
With Pandas
import pandas as pd
df = pd.DataFrame({"text": texts, "vector": embeddings})
table = db.create_table("docs", data=df)
Why Choose LanceDB
- Zero infrastructure — embedded, no server needed
- Fast — Lance format optimized for ML
- Multi-modal — not just text vectors
Check out LanceDB docs to get started.
Need data extraction? Check out my Apify actors or email spinov001@gmail.com for custom web scraping.
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