Ducky
Fully managed AI retrieval, RAG, and data indexing platform designed specifically for developers who need to connect fast, accurate search to generative AI applications.
Fully managed AI retrieval, RAG, and data indexing platform designed specifically for developers who need to connect fast, accurate search to generative AI applications.
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What is Ducky
Ducky specializes in providing a robust search solution that improves the accuracy and relevance of AI-generated responses. Ducky's platform is fully managed so developers can implement quickly and get back to building. Ducky handles chunking, re-ranking, indexing and embeddings via straightforward APIs and SDKs.
How to Use Ducky
With Ducky's straightforward SDKs, developers can sign up and index data in minutes. Ducky takes care of the complexity of RAG (Retrieval Augmented Generation) so engineers can connect high-quality information retrieval to any application.
Core Features of Ducky
- High-Precision Retrieval: Built for retrieval accuracy and low-latency search, Ducky delivers relevant results rather than just similar ones.
- Developer-Friendly: Features simple SDKs with comprehensive documentation that lets developers start searching in seconds while Ducky handles the infrastructure.
- Advanced Search System: Uses a multi-stage system that handles complex search intent through chunking, query rewriting, hybrid search, reranking, and more.
- LLM Integration: Can be added to any LLM agent to create a context-aware system that generates low-hallucination, informed, and relevant answers.
Use Cases of Ducky
- Document Indexing
- Fully-managed RAG implementations
- Power semantic search in any application
- Find and deliver right information to LLMs for generative applications
- Minimize cost, reduce hallucination, and increase quality when building LLM apps
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