Um armazém de dados especializado em dados não estruturados com inteligência artificial integrada para análise fácil
1. Faça login no Roe AI 2. Traga dados de qualquer lugar em qualquer formato 3. Extraia informações de dados não estruturados usando mecanismos de IA 4. Utilize a busca omnidirecional para pesquisar em várias modalidades 5. Garanta a segurança de ponta a ponta dos dados
Roe AI Nome da empresa: ROE.AI INC. .
Link de login de Roe AI: https://www.getroe.ai/#Sign-Up
Roe AI Link de inscrição: https://www.getroe.ai/#Sign-Up
Link de Linkedin de Roe AI: https://www.linkedin.com/company/roe-ai/about/
Escuta de mídias sociais
The Past, Present And Future Of SQL
Never bet against SQL. The number of "SQL is Dead" articles I read back around 2016 felt endless. Yet here we are, and it feels like SQL is more popular than ever. If you're an analyst, data scientist, data engineer and honestly plenty of other job titles, you'll likely have to know SQL. But where is it all going? That's the conversation I am going to have with Rui and Richard this coming week. Rui Machado is the author of Analytics Engineering with SQL and dbt https://www.linkedin.com/in/rpmachado/ And Richard Meng is an ex-Snowflake Software engineer that led the Gen AI project for Snowflake's SQL Copilot and now is the co-founder or Roe AI a company focused on making unstructured data easier to access via SQL. https://www.linkedin.com/in/berkeleymeng/ https://www.getroe.ai/ What questions should I ask?
From Hackathons to Co-Founding - Analyzing Unstructured Data With SQL
One of the benefits of working in big tech is you often build or see toolings and solutions internally that could benefit a broader audience. Whether it's a query engine or a data storage format. Richard Meng has been working as a Staff Software Engineer at companies like Linkedin and Snowflake with data as a particular focus. Most recently his experiences at Snowflake provided him with several insights into how LLMs can better be used to process data. In particular, unstructured data. For example, instead of going the standard method of chunking the documents and embedding them into vectors to allow future users to ask questions of said data. Richard's team believes in directly using vision LLM on unstructured data in their raw format, which preserves the original context of said unstructured data as much as possible. In this live chat, I'll be focusing on Richard's experiences that led up to this point and how he is viewing LLMs impacting the work of data engineers. If you'd like to reach out to Richard and ask some questions, you can reach out here: https://www.linkedin.com/in/berkeleymeng/ Also, if you are looking to analyze PDFs or Images with SQL, you can try out Roe here. https://www.getroe.ai/ Disclosure: Seattle Data Guy does have a stake in Roe.AI
[Hacker News] Roe AI Product Overview
Brief Overview of Key Features on Roe AI including: 1. Agents 2. SQL integrated with Agents 3. Search Indexes 4. Multimodal Search 5. Data Connectivity At Roe AI, we're redefining how you handle unstructured data. By merging SQL with the power of AI agents, we've created Roe SQL—your gateway to indexing, searching, and analyzing multimodal data seamlessly, no matter the scale. Roe AI: https://www.getroe.ai/ Join our Slack workspace: https://join.slack.com/t/roeaiusers/shared_invite/zt-2m0oa9kj4-wltD91LCeJJR~cN1y1R7JQ Roe AI Docs: https://docs.roe-ai.com
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