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Introduction:
Web API that enriches AI applications with real-time data.
Added on:
Sep 24 2024
Monthly Visitors:
542.2K
Social & Email:
Exa Product Information

What is Exa?

Exa is a web API designed to enhance AI applications by providing real-time data from across the internet.

How to use Exa?

Integrate Exa API into your application using simple code snippets to search for relevant data.

Exa's Core Features

Semantic search capability

Full content scraping from webpages

Similarity search for relevant results

Up-to-date information with frequent crawls

Powerful filtering options

Exa's Use Cases

#1

Deep research for AI apps

#2

Chatbot integration for accurate responses

#3

Data curation for model training

#4

Competitive analysis within sectors

FAQ from Exa

What does Exa API specialize in?

How can I integrate Exa into my project?

Exa Reviews (0)

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Analytic of Exa

Exa Website Traffic Analysis

Visit Over Time

Monthly Visits
542.2K
Avg.Visit Duration
00:02:57
Page per Visit
5.83
Bounce Rate
40.09%
Jun 2024 - Mar 2025 All Traffic

Geography

Top 5 Regions

United States
34.48%
China
15.18%
Taiwan
7.23%
India
6.18%
France
6.01%
Jun 2024 - Mar 2025 Desktop Only

Traffic Sources

Direct
59.12%
Search
25.48%
Referrals
9.48%
Social
5.64%
Display Ads
0.22%
Mail
0.06%
Jun 2024 - Mar 2025 Worldwide Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
exa ai
15.1K
$ 2.88
exa
63.3K
$ 0.96
exa search
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exa api
--
exa websets
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Social Listening

All
YouTube
Tiktok
1:22:17

CrewAI + Exa: Generate a Newsletter with Research Agents (Part 1)

In this tutorial, we will guide you through the process of creating an automation using CrewAI that uses a team of AI autonomous research agents. These agents will search the internet for the most recent news about any topic you desire, curate and summarize them, and then generate a newsletter with the latest news for your subscribers. The application will also feature a graphical user interface, allowing you and others to easily use it. ------------------------------------ LINKS - Check out Exa: https://exa.ai/ - Check out CrewAI: crewai.com - Github Repository: https://github.com/alejandro-ao/exa-crewai - Install conda: https://conda.io/projects/conda/en/latest/user-guide/install/index.html ☎️ Get something like this for your company: https://link.alejandro-ao.com/consulting-call 👉 Check out the second part of this tutorial (build the GUI): https://youtu.be/vhbfs38XmKk 👉 Check out the article with the links to GitHub and other: https://alejandro-ao.com/crewai-with-exa-research-agent-newsletter/ 👉 Buy me a coffee... or a beer (thanks): buymeacoffee.com/alejandro.ao 👉 Become a member of the channel for early access. Alternatively, you can become a Patreon here: https://www.patreon.com/alejandro_ao/ ------------------------------------ The video will cover the following topics, with the corresponding timestamps: 00:00 - Introduction 2:36 - Installing CrewAI 4:55 - Project Structure 6:59 - How to plan a Crew 14:52 - Prompt Engineering 24:46 - Your main Crew class 33:18 - What is Exa? 37:46 - Create Research Tools 53:45 - Add inputs 58:56 -Debugging 1:03:54 - Run any LLM 1:14:20 - Store each Step Output 1:21:16 - Conclusion In this automation, we will be using the following keywords and technologies: CrewAI, Automation, ChatGPT, OpenAI, LangChain, Multi-Agent Systems, AI Agents, Autonomous Agents, Streamlit, and Graphical User Interface (GUI) for AI. By the end of the video, you will have a solid understanding of how to create and run an automation using CrewAI that leverages the power of multiple AI agents. You will also learn how to write effective prompts for the agents' tasks, how to implement the agents and tasks in the project's code, and how to create and use tools that the agents can utilize to accomplish their tasks.

Alejandro AO - Software & Ai
Jun 12 2024
12.7K
39

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