Ducky | Fully Managed AI Search Infrastructure with RAG Support

Ducky: AI-Powered Search Infrastructure

Ducky is a fully managed AI retrieval service designed to empower developers with smarter, faster search capabilities. It simplifies the complex process of Retrieval Augmented Generation (RAG), allowing you to build applications that deliver blazing-fast and accurate results.

How it Works

Ducky provides a comprehensive infrastructure that handles various aspects of AI search, including:

• Vector database management
• Embedding model selection
• Content chunking
• Query transformation
• Reranking
• System deployment and scaling

It offers a simple Python SDK for easy integration, allowing you to start searching in seconds. Ducky's multi-stage system efficiently manages complex search intents through a combination of techniques, ensuring relevant results.

Key Benefits

Ducky offers several advantages for developers:

• Simplified RAG: Removes the complexities of implementing RAG.
• High Performance: Delivers retrieval accuracy, low-latency search, and efficient indexing.
• Developer-Friendly: Provides a simple Python SDK with comprehensive documentation.
• Fullstack Search: Handles complex search intents with features like chunking, query rewriting, and reranking.
• Agent Integration: Integrates with LLM agents for context-aware, hallucination-free, and relevant answers.
• Transparent Pricing: Offers a generous free tier and clear pricing for scaling.