Exa는 AI 응용 프로그램을 강화하기 위해 인터넷 전반의 실시간 데이터를 제공하는 웹 API입니다.
관련 데이터를 검색하기 위해 간단한 코드 스니펫을 사용하여 Exa API를 애플리케이션에 통합하십시오.
다음은 고객 서비스를 위한 Exa 지원 이메일입니다: hello@exa.ai . 더 많은 문의사항이 있으면 문의하기 페이지(https://cal.com/team/exa/exa-intro-chat)를 방문하세요.
Exa 회사 이름: Exa .
Exa 회사 주소: based in San Francisco.
Exa에 대해 자세히 알아보려면 회사 소개 페이지(https://exa.ai/team)를 방문하세요. .
Exa 가격 링크: https://exa.ai/pricing
Exa Twitter 링크: https://exa.ai/faq
소셜 리스닝
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.
Building a web RAG chatbot: using LangChain, Exa (prev. Metaphor), LangSmith, and Hosted Langserve
To celebrate the update of Exa (prev. Metaphor), we've teamed up to show how to build a web RAG chatbot from scratch Hosted App: https://perplexaty-5269a43d17175d97a534646f978834e0-ffoprvkqsa-uc.a.run.app/search/playground Exa API key: get it at dashboard.exa.ai Github: https://github.com/efriis/langchain-perplexaty
Will Google lose to AI Search? What everyone is missing.
https://stewartmedia.biz Mentions exa.ai perplexity.ai https://youtu.be/jGco3-8RroE
총 58개의 소셜 미디어 데이터를 보려면 잠금을 해제해야 합니다