Semantic Search Framework

Text, image, video, audio, semantic search, asynchronous worker, and more. It's time to unify them all.
No more database development.

Super Fast Setup

Traditional multi-modal infrastructure requires complex orchestration of multiple services. OneNode eliminates this entirely.

Traditional Setup

26-70 hours
Vector Database Setup4-8 hrs
Object Storage Config2-6 hrs
Embedding Pipelines8-16 hrs
Background Jobs4-12 hrs
Integration & Debug8-24 hrs

OneNode

1 minute
Install
pip install onenode
Initialize
client = OneNode()
db = client.db("my_app")
Everything included:
✓ Vector search
✓ Object storage
✓ Background jobs
✓ AI models
✓ Auto-scaling
✓ Monitoring

Stop configuring infrastructure. Start building intelligent applications.

Enterprise Infrastructure
Simplified

OneNode orchestrates battle-tested infrastructure behind a single API. Get enterprise capabilities without enterprise complexity.

Why OneNode?

Zero Configuration

No setup, no maintenance, no scaling decisions. Just write code and deploy.

Production Ready

Built on proven infrastructure used by millions of applications worldwide.

Auto-Scaling

Seamlessly scales from prototype to enterprise without changing a line of code.

terminal
# Install
pip install onenode

# Initialize
client = OneNode()
db = client.db("ai_app")
collection = db.collection("docs")

Powered by Industry Leaders

Built on the same infrastructure that powers the world's most demanding applications. Proven reliability at enterprise scale.

MongoDB
Document DB
Pinecone
Vector Search
Redis
Caching
Amazon S3
Storage
OpenAI
AI Models
+ more

Watch Your Data
Come Alive

From raw input to intelligent search. Experience automated multimodal processing.

1. Raw Input

Upload images, videos, documents, or text. Processing begins automatically.

Sample input
Processing

2. AI Understanding

Advanced models generate detailed, context-aware descriptions.

Embedding

3. Vector Transformation

Content is embedded into vectors for semantic search.

Vector embedding:
[0.12, -0.34, 0.56, 0.78, -0.90, 0.23, -0.45, 0.67, 0.89, -0.12, 0.34, -0.56, ...]
1,536 dimensional vector representation