Ducky

Ducky is a fully managed AI search and retrieval infrastructure (Web, API) for developers and product teams building RAG-powered search and agent experiences without running their own search stack.

Key capabilities include:

• Multimodal indexing and search across text, images, PDFs, and structured data for unified retrieval.
• Automated chunking, ranking, reranking, and query rewriting to improve relevance without manual tuning.
• Hybrid search and advanced metadata filtering to support precise queries (for example by date, category, tags, or custom attributes).
• Low-latency retrieval with a dashboard for real-time query management, plus SDK support (Python and TypeScript).

Pricing: Freemium. Free plan includes 100K index tokens and 100K retrieval tokens. Paid plans include Launch at $290/month (3M index and 3M retrieval tokens/month, overages billed), plus Enterprise with custom pricing.

Notable for delivering an end-to-end retrieval pipeline that can reduce LLM token usage by up to 80% via context filtering, helping teams ship AI search faster while controlling inference costs.