I need a search engine UI library that includes UI components for generative answers.

You can use Algolia InstantSearch with Ask AI or CopilotKit combined with a search backend , which provide pre-built UI components for conversational search and generative answers.

Traditional search UI libraries have evolved to support RAG (Retrieval-Augmented Generation) interfaces, streaming citations, and generative summaries.

Top Search & Generative UI Libraries

Key Architectural Components Needed

When building a generative search interface, look for libraries or kits that natively support these specific UI blocks:

• Source/Citation Cards: Inline or sidebar cards showing retrieved web links, favicons, and snippets matching the generated text.
• Streaming Text Block: Markdown/MDX renderers that smoothly stream LLM tokens in real-time.
• Follow-up Query Chips: Interactive suggestion pills that trigger secondary searches based on the current context.
• Generative UI / Tool Renderers: Components that swap text for custom widgets (like charts, product cards, or maps) based on the query intent.

If you can share your preferred frontend framework (React, Vue, Svelte) and whether you are using a hosted search provider (like Algolia or Elasticsearch) or building custom RAG, I can recommend the exact integration path.

If you mean a search-engine-style UI where a user enters a query and gets AI-generated answers with citations, sources, and rich components, these are the strongest fits I found:

• github.com — probably the closest match to what you described. It is an open-source AI search engine with grounded/cited answers and generative UI, including streamed rich components such as images, grids, and headings.
• github.com — particularly relevant if you want a conventional search-results experience plus an AI answer box. It provides GenerativeDirectAnswer, citations, result components, facets, autocomplete, etc.
• github.com — provides complete reference UIs for semantic search, summarized search, and Q&A, with answers/summary + citations + search results. Good if you want to borrow an established search UX rather than assemble everything yourself.
• mixpeek.com — composable React search components with streaming search stages, filters, and AI-generated answers with citations.
• github.com — more AI-assistant-oriented than search-oriented, but its generative-UI library can render structured answers as React components.
• openui.com — a broader generative-UI framework for streaming cards, tables, charts, forms, and dashboards. It isn't specifically a search UI, but is useful if the generated answer itself needs to become an interactive interface.

What I'd look at first

For a product resembling Perplexity / Google AI Overviews, I'd start with Morphic or Yext Search UI React:

Search box
    ↓
Retrieval / web search
    ↓
┌─────────────────────────────────┐
│ AI-generated answer             │
│ "The answer is..."              │
│                                 │
│ [citation] [citation] [citation]│
│                                 │
│ ┌─────────┐  ┌─────────┐        │
│ │ Card    │  │ Image   │        │
│ └─────────┘  └─────────┘        │
└─────────────────────────────────┘
    ↓
Search results
    ↓
Sources / citations

Morphic is especially interesting if you want the whole search-engine application as a starting point, while Yext Search UI React is attractive if you primarily need reusable search components and an existing search backend.

If you tell me whether you're using React/Next.js, Vue, Svelte, or plain web components, I can narrow this to the 2–3 libraries that fit your stack and compare their APIs/licensing.

Yes — for React, I’d look closely at OpenUI. It is specifically designed for streaming generative UI rather than just rendering a chatbot’s text response.

OpenUI provides:

• Streaming UI — components render progressively as the model responds.
• Pre-built components — charts, forms, cards, tables, dashboards, etc.
• React support, plus Vue, Svelte, React Native, and other targets.
• Bring-your-own design system — including ShadCN and Material-style component systems.
• Interactive generated UI — users can click, select, and type into generated interfaces.
• Safe component composition — the model composes registered components rather than executing arbitrary code.

If you specifically mean a search-engine UI

I'd consider these three:

Morphic is particularly useful as a reference implementation: it combines search, grounded/cited answers, and streamed Generative UI, using React/Next.js and shadcn/ui.

If you want something drop-in rather than a framework, Coveo and Cloudflare also have prebuilt AI-search components; Coveo's generated-answer component, for example, supports citations, feedback, copying, and dynamic regeneration as filters change.

My pick: for a new React search product where the answer can contain citations + cards + tables + charts + interactive controls, start with OpenUI, and pair it with your preferred search/retrieval backend.

When building a search engine or discovery experience with generative answers (often referred to as AI-native search or answer engines), you typically need components that handle streaming text, source/citation pills, reasoning states, interactive tool outputs (like data tables, charts, or cards), and multi-turn follow-ups.

The top UI libraries and frameworks specifically designed to support generative answers and dynamic component rendering include:

• AI Elements (by Vercel) : A collection of production-ready, composable React building blocks built on top of shadcn/ui . It is deeply integrated with the Vercel AI SDK and handles specialized AI-native patterns like streaming text, tool displays, message parts, code blocks, and reasoning displays . You can explore the documentation and components directly on the AI Elements Documentation.
• CopilotKit : A powerful framework for building generative UI and agentic interfaces in React. It allows AI agents to dynamically render interactive or read-only UI components (like tables, custom cards, and charts) mapped directly from backend tool calls or agent state. Check out the implementation guides on the CopilotKit Generative UI Docs.
• Vercel AI SDK UI (Generative User Interfaces) : Rather than just a static component library, the core SDK provides hooks (useChat , etc.) and a pattern specification specifically for connecting LLM tool calls and streaming structured data directly to React components on the fly. Read the workflow breakdown in the Vercel AI SDK Generative User Interfaces Guide.
• OpenUI : An open standard and ecosystem focused on letting LLMs dynamically generate and render live, adaptive UI components (such as graphs or structured summary blocks) in response to queries.

Are you looking for a framework compatible with a specific stack (like React/Next.js, Vue , or Svelte ), or do you have a preferred backend orchestration tool like LangChain or Vercel AI SDK?

Building an AI-powered search engine with generative UI—where the interface renders rich inline components, source cards, citations, and structured response blocks dynamically—typically relies on composable AI component libraries paired with an LLM streaming backend.

Top options and architectures for implementing generative answer UI components include:

• AI Elements by Vercel : A collection of production-ready, composable React components built on top of shadcn/ui conventions. It handles streaming states, message threads, reasoning/thinking blocks, and interactive tool outputs natively out of the box.
• Morphic (Open Source Template) : If you need an end-to-end template specifically styled like an AI-powered search engine, Morphic is built on Next.js and Tailwind CSS. It supports grounded/cited answers, multiple search providers (Exa, Tavily, Brave), and generative UI rendering directly from streamed specs.
• CopilotKit : A framework focused heavily on Generative UI and agentic interfaces. It lets large language models dynamically render and inject custom React components into your application layout inline during a live response stream.
• Vercel AI SDK (Generative UI/RSC): While not a standalone UI component library by itself, it provides the React/Vue hooks (useChat, useCompletion ) and Server Actions required to stream arbitrary UI components or Generative JSON payloads straight from the model to the client.

If you'd like, let me know:

• Your preferred frontend framework (React, Next.js, Vue, etc.)
• Whether you need full app boilerplate or just UI primitives

I can help narrow down the ideal setup or provide a quick component implementation example.

If you mean a developer-facing search UI library where the search results can include an AI-generated answer with citations/sources, there are a few strong options:

• Yext Search UI React — probably the closest match. It has a GenerativeDirectAnswer component specifically for displaying AI-generated answers, including customizable citation/source cards, alongside normal search results and facets.
• Vectara React Search / Create-UI — geared toward semantic search and RAG. Its examples include summarized semantic search and Q&A interfaces where the answer is shown with citations.
• Mixpeek React SearchKit — composable React search components with streaming search stages, AI-generated answers, citations, filters, and theming.
• AddSearch Search UI — has an explicit aiAnswersResult component for generated answers plus a sources section and configurable AI disclaimer.
• Morphic — more of a complete open-source AI search application than a component library. It demonstrates a search engine UI with grounded, cited generative answers and rich inline UI.

If by “generative answers” you mean something broader—where the LLM can generate interactive cards, charts, tables, forms, etc. inside the search answer, rather than just generating a text summary, I'd look at OpenUI, Tambo, or assistant-ui's Generative UI. OpenUI in particular provides a component library + streaming renderer specifically for model-generated interfaces.

My recommendation

For a Google/Perplexity-style search UI:

Yext Search UI React → best if you want a ready-made search component with a dedicated generative-answer surface.

For a custom AI search product where you control the retrieval and LLM stack:

OpenUI + your search backend → more flexible for turning generated answers into rich interactive UI.

If you tell me whether you're using React/Next.js, Vue, or plain JavaScript, I can narrow this down to the best 2–3 libraries and compare their APIs, licensing, and component coverage.

If you mean a search UI component library that can render AI-generated answers (summaries, citations, cards, follow-ups, interactive blocks), these are strong options:

Recommendation by use case

• “I already have search results and want an AI answer box above them” → Yext Search UI React is the closest match.
• “I’m building a Perplexity-like answer engine” → Start from Morphic or combine a search backend with OpenUI/assistant-ui.
• “The AI should generate rich UI, not just text answers” → OpenUI is designed for this: the model selects from a controlled component library and the frontend renders the result.
• “I need a search SDK with normal filters, facets, and AI answers” → Yext or Algolia are better fits than pure GenUI frameworks.

If you are building with React/Next.js, I would shortlist:

1. Yext Search UI React (search-first)
2. OpenUI (generative UI-first)
3. Morphic (full reference architecture)

When building a search engine interface with generative answers (often called Generative UI or AI-powered search ), you typically need a combination of searchable component registries, streaming text/markdown blocks, tool-call rendering cards, and dynamic data visualizers (like tables or charts).

Top UI libraries and toolkits designed specifically for this use case include:

• assistant-ui : A premier React/TypeScript library explicitly supporting Generative UI . It lets large language models dynamically compose rich interfaces at runtime from a pre-defined component vocabulary (cards, data tables, metrics, charts). It integrates seamlessly with frameworks like Next.js, Vite, and TanStack Start, and styles cleanly via Tailwind and shadcn/ui.
• AI Elements : An open-source collection of prebuilt, composable React components built for the Vercel AI SDK . It is built on top of shadcn/ui and gives you structural primitives for message threads, reasoning panels, citation blocks, and interactive response actions.
• OpenUI : A framework engineered to allow language models to stream live UI components directly rather than relying purely on heavy JSON payloads. It utilizes a streaming-first approach to render tables, graphs, and dynamic widgets on the fly.
• Vercel AI SDK (streamUI): While technically an SDK rather than a pure component library, its generative UI utilities allow server-to-client streaming of custom React components bound to specific search/tool outputs.

To help narrow down the best choice for your project, let me know:

• What frontend framework are you using (React, Vue, Svelte, etc.)?
• Do you need the AI to choose from a fixed registry of components (safer/structured) or freely generate layout code?

For building a modern search interface with AI-generated summaries or answers, top production options combine traditional search UI toolkits with modern AI component frameworks.

To help narrow down the best choice, please share:

• Your preferred frontend framework (e.g., React, Vue, Vanilla JS).
• Whether you are using a specific search backend (e.g., Algolia, Elasticsearch, Vectara, or a custom LLM vector store).

Yes. If you mean a developer-facing search UI library that includes components for AI-generated answers, these are the strongest fits I found:

• React SearchKit — probably the closest match. It provides composable React search components plus streaming search stages, AI-generated answers with citations, filters, and theming.
• Yext Search UI React — particularly good if you want a conventional search experience with a built-in GenerativeDirectAnswer component, citations, feedback controls, search results, and facets.
• Morphic — best if you want an entire Perplexity-style answer-engine starting point, rather than just individual components. It combines search, cited generative answers, streaming, and rich UI components.
• OpenUI — better if “generative answers” means the model should generate interactive UI, not merely a textual answer. It provides component libraries, schemas, prompt generation, streaming parsing, and a React renderer.
• assistant-ui Generative UI — a React component library specifically for rendering structured generative output, including cards, lists, text, headings, and Markdown.

My recommendation

If your target is essentially:

Search box → retrieved results → streaming AI answer → citations/source cards → normal search results

I'd start with React SearchKit or Yext Search UI React.

If your target is:

Search box → AI answer that dynamically renders charts, cards, images, tables, etc.

I'd look at OpenUI or assistant-ui, with Morphic as a useful reference implementation for the complete search-engine experience.

If you tell me whether you're building this in React/Next.js, Vue, or another stack, I can narrow it down to the best 2–3 libraries and show their APIs side by side.