Ducky

What is Ducky?

Ducky is a fully managed AI search infrastructure with RAG (Retrieval Augmented Generation) support. It’s designed for developers who need fast and accurate search results. Ducky simplifies semantic search by handling the complexities of RAG, allowing users to focus on building applications. It offers seamless integration, simple pricing, and is fully managed.

How to use Ducky?

Use Ducky by implementing the Python SDK. Create an index, index documents, and then retrieve them using queries. Ducky handles the underlying infrastructure, including chunking, query rewriting, hybrid search, and reranking.

Ducky’s Core Features

Fully managed AI retrieval service Semantic search simplified with RAG Multi-stage search system Python SDK for easy integration Context-aware agent tool

Ducky’s Use Cases

• Building semantic search applications
• Adding context-awareness to LLM agents
• Indexing and retrieving documents for RAG workflows
• Creating hallucination-free, informed answers