Ducky
Comprehensive managed AI search platform with robust RAG (Retrieval Augmented Generation) support for developers seeking efficient and precise search solutions.
About Ducky
Ducky provides a fully managed AI search infrastructure with integrated RAG capabilities. Designed for developers, it delivers fast, accurate search results while simplifying complex processes like semantic search, chunking, and reranking. With seamless integration and straightforward pricing, Ducky enables building advanced AI-powered search applications effortlessly.
How to Use
Integrate Ducky using the Python SDK by creating an index, adding documents, and executing queries. Ducky manages underlying processes such as chunking, query rewriting, hybrid search, and reranking automatically.
Features
- Multi-stage search architecture for accuracy
- Built-in context-aware agent tools
- Simplified semantic search with RAG
- Fully managed AI retrieval service
- Easy integration via Python SDK
Use Cases
- Indexing and retrieving data for RAG workflows
- Enhancing LLM agents with contextual awareness
- Generating accurate, hallucination-free responses
- Developing advanced semantic search applications
Best For
Pros
- Streamlines RAG implementation for faster deployment
- Simple integration with Python SDK
- Provides rapid and highly accurate search results
- Generous free tier for experimentation
- Fully managed infrastructure reduces setup overhead
Cons
- Costs may increase with higher data volumes
- Dependent on Ducky's cloud infrastructure
Pricing Plans
Choose the perfect plan. All plans include 24/7 support.
Free
Ideal for hobbyists and developers exploring AI search. No credit card needed. Includes 100K index tokens and 100K retrieval tokens.
Get StartedGrow
Suitable for production applications. Includes 1 million index tokens and 1 million retrieval tokens monthly. Additional tokens are billed at $0.014 per 1K index tokens and $0.079 per 1K retrieval tokens. (Previous price $480)
Get Started