> For the complete documentation index, see [llms.txt](https://docs.flowiseai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flowiseai.com/integrations/langchain/tools/searxng.md). # SearXNG Wrapper around SearXNG - a free internet metasearch engine.

### Setup SearXNG Follow [official documentation](https://docs.searxng.org/admin/installation.html) for setting up SearXNG locally. In this case, we will be using Docker Compose to set it up. Navigate to [searxng-docker](https://github.com/searxng/searxng-docker) repository and follow the setup instructions. Make sure that you have `server.limiter` set to `false` and `json` is included in `search.formats`. These parameters can be defined in `searxng/settings.yml` : ```yaml server: limiter: false general: debug: true search: formats: - html - json ``` `docker-compose up -d` to start the container. Open web browser and go to ****, you will be able to see SearXNG page. ### Using in Flowise Drag and drop SearXNG node onto canvas. Fill in the Base URL as **.** You can also specify other search parameters if needed. LLM will automatically figure out what to use for the search query question.

--- # 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.flowiseai.com/integrations/langchain/tools/searxng.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.