want some? https://exa.ai/careers ;) in search of: engineers, designers, GTM wizards
关于我们
Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information. Check out our web search API at https://exa.ai Want to join the team transforming the data layer of the Ai ecosystem? We're hiring! For any questions or comments about Exa or our API, reach out to [email protected]
- 网站
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https://exa.ai
Exa的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- San Francisco,California
- 类型
- 私人持股
地点
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主要
533 Page St
US,California,San Francisco,94117
Exa员工
动态
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Websets doesn't just find results - it enriches them ? (and your chance to get 2-weeks free of our Pro plan!)? Here are a few cool things you can do: ?? Get summaries of company's, their main products and recent news: https://lnkd.in/dm4XE8EM ?? Categorize candidates into buckets based on their top skill or experience level: https://lnkd.in/dH99jn64 ?? Get a sentiment analysis of articles: https://lnkd.in/dpNVw74h ?? Find valuation data, employee count numbers and more: https://lnkd.in/dKDFR-C8 Try it for free at: https://websets.exa.ai/ Show us your creative uses of enrichments below ?? We'll DM you a special code for 2-weeks of free Pro access.
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Exa转发了
We're hiring! Software engineers, designers and sales (SDRs), message me if interested! https://exa.ai/careers P.S. We sponsor visas for engineers, so if you're in Brazil, UK, etc., don't hesitate to reach out!
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Save dozens of hours on sourcing with Websets ?? Here are 10 insane lists you can only find using Exa Websets: 1. 1000 software engineers, based in the US, with backend experience, categorized by if they have experience in startups or big tech: https://lnkd.in/de3h2Vzh 2. Tech startups, based in the US, with 20 to 200 engineers: https://lnkd.in/dvzM2YXX 3. FP&A Analysts with experience in fortune 500 companies, mapped by industry: https://lnkd.in/d5xfsz6b 4. Logistics companies, based in the Midwest, which are privately owned: https://lnkd.in/dJ_D7sAc 5. Directors of HR at a company with 50-500 employees, based in the US, likely less than 35 years old: https://lnkd.in/dZWYpYyN 6. Companies that were awarded US government military contracts: https://lnkd.in/dDH7qked 7. Startups in crypto or blockchain, with less than 3 founders, in pre-seed stage https://lnkd.in/dwtN3a96 8. Research papers about finding love, by a top US university, written by an author who has a PhD: https://lnkd.in/d8WHXmCa 9. Product Marketers with experience in healthcare or other highly regulated industries: https://lnkd.in/dH99jn64 10. Articles about the intersection of AI and ecommerce, written by a UK publication, with a sentiment analysis about them: https://lnkd.in/dpNVw74h Save hours of sourcing and get back to the important stuff. Get started for free here: websets.exa.ai
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Exa转发了
Recruiters, sales teams, investors, this one is for you ?? Websets is live! Message me or comment below if you’d like a free trial of our Pro Plan.
Websets is now live for everyone! ?? Finding exactly what you need online shouldn't feel like searching for a needle in a haystack. Our web search agent helps you find and enrich results that traditional tools miss. Perfect for:? ?? Sales teams building targeted prospect lists? ?? Recruiters finding candidates with specific skill combinations? ?? Investors researching emerging companies in specific niches? ?? Researchers gathering comprehensive datasets Try Websets free today: https://lnkd.in/dfc4wPS4 P.S. Websets finds 20x more results than Google and 10x more results than OpenAI's Deep Researcher. You can check out the full evaluations here: https://lnkd.in/d-X9wJRh
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Websets is now live for everyone! ?? Finding exactly what you need online shouldn't feel like searching for a needle in a haystack. Our web search agent helps you find and enrich results that traditional tools miss. Perfect for:? ?? Sales teams building targeted prospect lists? ?? Recruiters finding candidates with specific skill combinations? ?? Investors researching emerging companies in specific niches? ?? Researchers gathering comprehensive datasets Try Websets free today: https://lnkd.in/dfc4wPS4 P.S. Websets finds 20x more results than Google and 10x more results than OpenAI's Deep Researcher. You can check out the full evaluations here: https://lnkd.in/d-X9wJRh
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Build an agentic RAG recommendation engine in 10 minutes! ?? Use Exa to give your agents access to search and crawl the web. Check out this open source guide by CrewAI: https://lnkd.in/gpW2-SWb Github Repo: https://lnkd.in/gyCJKc99
How to Build an Agentic RAG Recommendation Engine (Step-by-Step)
https://www.youtube.com/
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We made a DeepSeek R1 powered web researcher ?? Fully free and open source, try it here: https://lnkd.in/dhN4BdAP Github repo: https://lnkd.in/dcYWzec2
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Here's how you can create a recommendation engine in 20 minutes with CrewAI, Exa, Weaviate and Docling! ??
Software Engineer at CrewAI. Python | Typescript | Rails | Full Stack AI Developer based in San Francisco, working on various projects involving multi agent systems.
Go from 0-1 with How to Build an Agentic Rag Recommendation Engine in minutes with CrewAI Exa Weaviate and Docling?! You will learn how to leverage: Docling to pre-process a spreadsheet to load into our vector database as well as generate appropriate metadata for our vector db Weaviate Cloud vector search and vector database Exa Enrich data using web searches finding the most relevant details using the web CrewAI For orchestrating our entire recommendation engine with 3 agents. In 20 minutes you go from 0-1 with a recommendation engine you can use for your organizations, teams and businesses. https://lnkd.in/gHVAcNWq
How to Build an Agentic RAG Recommendation Engine (Step-by-Step)
https://www.youtube.com/
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The best web search API for LLMs, backed by data. We ran some evaluations based on the SimpleQA benchmark from OpenAI. Check out the full blogpost below. https://lnkd.in/dP_ZgicS
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