Ducky AI search and retrieval dashboard showing real-time query results, semantic search management, and RAG integration.
Ducky AI search and retrieval dashboard showing real-time query results, semantic search management, and RAG integration.
Ducky AI search and retrieval dashboard showing real-time query results, semantic search management, and RAG integration.

Ducky is a fully managed AI retrieval service. Easy to implement, blazingly fast, and incredibly accurate.

Ducky is a fully managed AI retrieval service. Easy to implement, blazingly fast, and incredibly accurate.

No credit card required - we have a generous free tier to support builders

Semantic search simplified

Semantic search simplified

Ducky takes the complexity out of retrieval augmented generation (RAG) so you can focus on building.

Ducky takes the complexity out of retrieval augmented generation (RAG) so you can focus on building.

Which vector database

What is a good embedding model

How to chuck large content

How to transform user queries

How to implement reranking

How to deploy these systems

How to scale with volume

All retrieval in one place

Seamless integration

Simple, clear pricing

Fully managed

Why Ducky

Why Ducky

Great performance

Built for retrieval accuracy, low-latency search, and efficient indexing — delivering relevant results, not just similar ones.

Get going fast

Built for developers - A simple Python SDK with comprehensive docs. Start searching in seconds, while Ducky handles the infra.

Fullstack search

Our multi-stage system handles complex search intent with chunking, query rewriting, hybrid search, reranking, and more.

Tool for agents

Add Ducky to any LLM agent for a context-aware agent. Generate hallucination-free, informed, and relevant answers.

An SDK for you

An SDK for you

from duckyai import DuckyAI

ducky = DuckyAI(api_key="your-api-key")

ducky.indexes.create(index_name='my-documents')

ducky.documents.index(index_name='my-documents', content='Hello, World!')

results = ducky.documents.retrieve(

index_name='my-documents',

query='hello',

top_k=1,

)

Cost

Cost

No surprise fees. No awkward sales calls. Ducky is free to try with zero commitment and free to use for small volumes.

No surprise fees. No awkward sales calls. Ducky is free to try with zero commitment and free to use for small volumes.

Build

For hobbyists looking to explore

$0

Free forever

100k index tokens

100k retrieval tokens

Launch

For when it’s time to go live

$12

per month

300k index tokens each month

300k retrieval tokens each month

$0.029 per additional 1k index tokens

$0.166 per additional 1k retrieval tokens

Popular

Grow

For apps released into the wild

$290

per month

3M index tokens each month

3M retrieval tokens each month

$0.014 per additional 1k index tokens

$0.079 per additional 1k retrieval tokens

Support via Slack

No credit card required - we have a generous free tier to support builders

Trusted

Trusted

Ducky simplifies retrieval. It’s that straightforward. Setup takes 5 minutes, and everything functions seamlessly. No need to worry about embeddings, chunking, re-ranking, or other complexities. Ducky handles it all. Just upload your data and get back to building.

Rich Scudellari, Penny Jar

We love Ducky for its speed and accuracy. It bypasses token limits by auto-indexing long files into searchable chunks, streamlining our workflow and boosting results.

Jeff Brunelle, HDBND

Ducky made indexing our quoting and deal data for Vendori’s AI features effortless. Despite our complex use case, it delivered flawless retrieval and generation.

Ethan Garonzik, Vendori

Ducky has been a game-changer for our RAG workflows. Within hours, we had a fully functional, low-latency semantic search pipeline without the overhead of managing embeddings, vector databases, or rerankers.

Rick Voltz, Oversite