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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
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.
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,
)
Build
For hobbyists looking to explore
Free
no credit card required
10K index tokens
10K retrieval tokens
Grow
For apps released into the wild
$480
$290
per month
1M index tokens each month
1M retrieval tokens each month
$0.014 per additional 1K index tokens
$0.079 per additional 1K retrieval tokens
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Enterprise
Get in touch to discuss higher volumes
No credit card required - we have a generous free tier to support builders