> For the complete documentation index, see [llms.txt](https://docs.jetadmin.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jetadmin.io/user-guide/data-sources/business-apps/parallel.md). # Parallel Learn how to connect Parallel to JetAdmin to perform AI-powered web search, retrieve webpage content, and provide AI Agents with high-quality, up-to-date information. Parallel is an AI-native search platform built for large language models and AI Agents. It provides semantic web search and high-quality content extraction, making it easy to retrieve relevant information from across the web. By connecting Parallel to JetAdmin, you can search the web, fetch webpage content, and enhance AI Agents with real-time context. ## Connecting Parallel To connect your Parallel account: 1. Open the **Data** tab from the left sidebar. 2. Click **Add Resource**. 3. Select **Parallel** from the list of available resources. 4. Authenticate your Parallel account. ![Parallel connection form in Jet Admin](https://3448227606-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LQ08RFAKZvFADEiXKFy%2Fuploads%2FJNdsqg7970YrWFEBDBLc%2Fparallel-connection.jpg?alt=media) The current connection form shows account options, including Use Jet-managed and Connect Custom. Choose the option appropriate for your setup. {% @arcade/embed url="" flowId="KLYRIZV9nMd2aovMhPPZ" %} {% hint style="info" %} Once connected, the Parallel resource becomes available anywhere JetAdmin supports external resources. {% endhint %} ## What can it do? The Parallel integration gives JetAdmin access to AI-powered web search and webpage retrieval. From JetAdmin, you can: * Search the web using natural language * Retrieve content from webpages * Provide AI Agents with live web context * Use search and web content inside workflows and applications ## Where to use it? Parallel is most useful whenever your application needs **real-time web information**, **online research**, or **Retrieval-Augmented Generation (RAG)**. You can use it in: | JetAdmin feature | Common use cases | | ------------------ | -------------------------------------------------------------------------------------------------------------------------- | | **AI Agents** | Answer questions with current web information, perform research, retrieve reliable sources | | **Workflows** | Automate research, enrich business data, monitor websites, or collect online information | | **Internal tools** | Build research assistants, internal search tools, competitive intelligence dashboards, or knowledge discovery applications | Typical business use cases include: * AI-powered research * Market and competitor analysis * Knowledge enrichment * News and trend monitoring * Source retrieval * RAG applications ## Available tools (Actions) | Action | Description | | ---------------------- | --------------------------------------------------------------------------------------------------- | | **Web Search Preview** | Search the web using natural language queries and retrieve relevant webpages and excerpts. | | **Web Fetch** | Retrieve and process the content of a webpage for analysis, summarization, or AI-powered workflows. | > Parallel is optimized for AI Agents, returning highly relevant search results and clean webpage content designed for LLMs. ## Example prompts for AI Agents #### Research a topic ``` Research the latest trends in AI infrastructure and summarize the most important findings from reliable sources. ``` #### Find official documentation ``` Search for the official Kubernetes documentation about Ingress controllers and summarize the recommended setup. ``` #### Retrieve webpage content ``` Fetch the content from https://docs.jetadmin.io and summarize the main concepts for new users. ``` #### Compare competitors ``` Search for the top customer support platforms and compare their key features, pricing, and integrations. ``` #### Find recent information ``` Search the web for recent announcements about vector databases and summarize the latest developments. ``` #### Answer using live web data ``` Search the web for the latest information about MCP servers and answer the user's question using the retrieved sources. ``` ## Example This example demonstrates how an AI Agent can use Parallel to search the web, retrieve relevant webpages, and answer questions using live information. {% @arcade/embed url="" flowId="mOnFxtYpPq7GpFFLhA6o" %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.jetadmin.io/user-guide/data-sources/business-apps/parallel.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.