# GDG Cloud Lead Search

## GDG Cloud Lead Search

- [Why is DialogFlow awesome?](https://amandacavallaro.gitbook.io/convapp/master.md): Build natural and rich conversational experiences, you can build a conversational action that uses machine learning techniques to perform human-like conversations.
- [DialogFlow](https://amandacavallaro.gitbook.io/convapp/dialogflow.md): Build natural and rich conversational experiences, you can build a computer program that uses machine learning techniques to perform human-like conversations.
- [Agent](https://amandacavallaro.gitbook.io/convapp/agent.md): The agent is name of the conversational app, its responsability is to figure out what the user's intent or objective is they typed in that query.
- [person\_name entity](https://amandacavallaro.gitbook.io/convapp/person_name-entity.md): Entities are powerful tools used for keyword extraction.Let's create the person\_name entity. We will fill the slots with the correct keyword extraction.
- [person\_skill entity](https://amandacavallaro.gitbook.io/convapp/person_skill-entity.md): We are now going to create the entity containing the person\_skill key-word extractions.
- [search\_terms entity](https://amandacavallaro.gitbook.io/convapp/search_terms-entity.md): Let's create one more entity named search\_terms.
- [Default Welcome Intent](https://amandacavallaro.gitbook.io/convapp/default-welcome-intent.md): The welcome intent is the first message, usually a greeting one. The welcome intent is also responsible for informing your users about their options and what they could do with your agent.
- [Default Welcome Intent - search](https://amandacavallaro.gitbook.io/convapp/default-welcome-intent-search.md): Let's create a search intent for getting the search term our users want to start their search.
- [Webhook](https://amandacavallaro.gitbook.io/convapp/webhook-1.md): When you set up your webhook, you pass information from a matched intent into a web service and get a result from it.
- [Default Welcome Intent - search - get\_name](https://amandacavallaro.gitbook.io/convapp/default-welcome-intent-search-get_name.md): Let's implement the search the GDG Cloud lead by name flow.
- [Default Welcome Intent - search - get\_skill](https://amandacavallaro.gitbook.io/convapp/default-welcome-intent-search-get_skill.md): Repeat the same steps as before for the get skill intent.
- [Database](https://amandacavallaro.gitbook.io/convapp/database.md)
- [Final Code](https://amandacavallaro.gitbook.io/convapp/final-code.md): Dummy responses are great but we want to fetch our data from a database since we can't add everyone at the entity values.
- [Webhook & Action](https://amandacavallaro.gitbook.io/convapp/webhook.md): Setting up a webhook allows you to pass information from a matched intent into a web service and get a result from it.
- [Additional Resources](https://amandacavallaro.gitbook.io/convapp/additional-resources.md): I hope you enjoyed and got your app up and running! Where to go next?
- [Can you speak at my event?](https://amandacavallaro.gitbook.io/convapp/can-you-speak-at-my-event.md): Let's speak further on this! Please find the presenter's contact below:
- [Credits](https://amandacavallaro.gitbook.io/convapp/credits.md): This workshop is a simplified version of the workshop made by Eliza Camber and Amanda Cavallaro for the third Women Techmakers summit in Europe.
- [Demo](https://amandacavallaro.gitbook.io/convapp/demo.md): In this step by step codelab you'll be able to create an app that allows you to search a GDG Cloud London organiser by name or by skill they are good at.


---

# 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, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on a page URL with the `ask` query parameter:
```
GET https://amandacavallaro.gitbook.io/convapp/master.md?ask=<question>
```
The question should be specific, self-contained, and written in natural language.
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.