ducky

ducky

Ducky is a fully managed AI search infrastructure and retrieval-augmented generation (RAG) pipeline that enables teams to add semantic, multi-modal search to products quickly using hosted APIs and SDKs.

ducky is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 75/100
#554 in AI Agents (554 tools)
Added 1 month ago
Data reviewed Aug 25, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from Free to try

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ducky

Ducky provides a fully managed AI search and RAG infrastructure designed to let teams deploy semantic search and retrieval-based features quickly. The platform offers multi-modal intelligence to search across text, images, and PDFs, automated document chunking and multi-stage reranking, advanced metadata filters, and connectors to LLM workflows so teams can deliver accurate, low-latency search and synthesis experiences without building infrastructure. It is positioned for developer and product teams who want a turnkey, production-ready search pipeline with SDKs and APIs and options for demos and dedicated onboarding.

Fully managed AI search infrastructure with RAG support for developers.

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Key Features

Multi-modal intelligence

Search seamlessly across text, images, and PDFs so content is understood and searchable regardless of format.

Automated chunking & ranking

Documents are split and optimized for retrieval with multi-stage reranking to ensure the best results surface first.

Advanced metadata support

Power precise searches with filters so users can narrow results by date, category, tags, or any attribute that matters.

Fully managed, zero setup service

Described as a fully managed service ready to use with no infrastructure setup required, allowing teams to focus on product features.

Developer-first APIs & SDKs

Intuitive APIs and support for Python and TypeScript SDKs with documentation and demos for quick integration.

Self-improving accuracy

Search patterns are learned over time so result rankings and relevance improve automatically with usage.

Search-to-synthesis pipeline with attribution

Automates the pipeline from retrieval to synthesis so agents can ask questions and receive complete answers with source attribution.

Cost and hallucination reduction

Context filtering reduces token usage (claimed up to 80%) and feeds agents only accurate, relevant context to reduce hallucinations.

Pricing

Free Tier Available

Free trial with 100k index tokens and 100k retrieval tokens; 'Ducky is free to try with zero commitment.'

Trial

Free to try
  • 100k index tokens
  • 100k retrieval tokens
  • No commitment

Launch

Included monthly allocation with overage rates
  • 3M index tokens each month
  • 3M retrieval tokens each month
  • $0.014 per additional 1K index tokens
  • $0.079 per additional 1K retrieval tokens

Use Cases

Embed AI search in products

Add semantic search capabilities to applications quickly via APIs and SDKs to surface relevant content across formats.

RAG-powered agents and assistants

Build agents that ask questions and receive sourced answers using the automated retrieval-to-synthesis pipeline.

Reduce LLM costs and improve reliability

Use context filtering to lower token usage and supply only relevant context to LLMs, addressing cost and hallucination concerns.

Document and knowledge base search

Index and search documents, PDFs, and images with metadata filters for precise retrieval in customer-facing or internal tools.

Integrations

Large language models (LLMs)

Designed to work seamlessly with today's LLMs and future models for retrieval-augmented generation workflows.

Python & TypeScript SDKs

Official SDK support to integrate search, indexing, and retrieval into applications and services.

Slack (support)

Dedicated support via Slack is offered as part of paid plans.

Benefits

Ship AI-powered search features quickly without building or maintaining infrastructure.
Lower LLM costs and token usage through context filtering and focused retrieval.
Improve accuracy and reduce hallucinations by feeding agents only relevant, attributed context.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Book a demo with Ducky's onboarding team or try the in-browser search demo.
  2. 2 Sign up for an account to access the trial allocation and console.
  3. 3 Integrate using Ducky's APIs or SDKs (Python and TypeScript) and configure indexing, metadata filters, and retrieval settings.

Support

Book a demo

Onboarding demos can be scheduled with the Ducky team via the 'Book a demo' CTA.

Documentation

Product documentation is listed in the site navigation to guide integration and usage.

GitHub

GitHub is listed in the site navigation as a resource for code or SDKs.

Slack

Paid plans include dedicated support via Slack (referenced in pricing).

API

Available: Yes

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