Ducky | Fully Managed AI Search Infrastructure with RAG Support

Ducky is managed AI search infrastructure for developers adding retrieval or question answering to a product. The official overview describes a unified pipeline for indexing content, retrieving relevant material and supplying context to an AI agent. It is relevant to application development, rather than a promise that generated answers will be correct without review.

Make your product content searchable

The publisher describes search across text, images and PDFs. It handles document chunking and multi-stage reranking, with metadata filters for narrowing results by attributes such as date, category or tags.

Decide which material belongs in the index and what its metadata means before connecting the service to a user-facing workflow. An index can retrieve an outdated document accurately, so source maintenance remains part of the application team's work.

The site lists APIs and Python and TypeScript SDK support. The captured material establishes those advertised integration routes, but this article has not authenticated to them or measured indexing behavior.

Inspect retrieval and generated answers

Ducky describes agents asking questions and receiving answers with source attribution. Source links can help reviewers check whether an answer follows the retrieved evidence.

Inspect examples where relevant documents disagree or where the expected answer is absent. The publisher promotes automatically improving relevance and reduced hallucinations, but those statements do not demonstrate error-free search or synthesis for your own dataset.

Its context-filtering cost-saving percentage is also a vendor claim. Measure the selected task and actual consumption before using it as a budget forecast.

Distinguish the trial and launch allowances

The homepage lists a zero-dollar trial with 100,000 index tokens and 100,000 retrieval tokens. Those are separate balances, and the captured text does not identify them as fresh monthly trial allocations.

Launch lists three million index tokens and three million retrieval tokens each month. It also lists additional charges of 0.014 dollars per thousand index tokens and 0.079 dollars per thousand retrieval tokens. Confirm the base payment and billing terms before choosing a production plan rather than assuming the headline amount covers unlimited usage.

The page offers sign-up and a demo. Those access routes do not establish a permanent free production service or a verified deployment time.

Ducky is worth assessing with representative searches and a defined source corpus. Keep permission checks, data handling and answer review in the surrounding application. This overview summarizes the published offering, not a tested low-latency pipeline, proven cost reduction or independent security assessment.