#166 MongoDB como Backend para AI Agents: Atlas Vector Search e Análises do Banco episode artwork

EPISODE · Jun 30, 2025 · 1H 5M

#166 MongoDB como Backend para AI Agents: Atlas Vector Search e Análises do Banco

from Café Debug seu podcast de tecnologia · host Café debug

Neste episódio, exploramos o MongoDB além do básico, focando nas tendências e práticas avançadas que estão moldando o futuro dos bancos de dados NoSQL. Conversamos com Jhonathan Soares sobre como usar MongoDB como sistema de cache, os desafios do Teorema de CAP em ambientes distribuídos, e as novas possibilidades de integração com inteligência artificial através de dados vetoriais e o protocolo MCP. Conheça o AI Agent do Mongodb.  Assuntos abordados no tema Mongo como cache Teorema de CAP (breve menção) Melhor integração com inteligência artificial e dados vetoriais. Protocolo MCP Expansão de capacidades serverless via MongoDB Atlas. Read Secondary: cenários ideais para utilização Armadilhas comuns em dados inconsistentes Query pipelines cada vez mais sofisticados, substituindo ferramentas de ETL Edge computing com Mongo embutido em dispositivos (Realm). Maior uso de BSON + JSON Schema para validação automática. O que a IA deveria fazer com o Mongodb  Links úteis Nosso Discord: https://discord.com/invite/hGpFPsV2gB Café Debug globalhttps://open.spotify.com/show/3S1OK2ecjZj7zoaZ34bFkP?si=ae09a6a1796a4587 Patrocinadora do programa  https://king.host/ https://www.mongodb.com/products/tools/compass https://learn.mongodb.com/ https://dev-aditya.medium.com/understanding-temporary-inconsistency-in-mongodb-during-network-partitions-causes-and-solutions-7ab418a76ac5 https://www.educative.io/blog/what-is-cap-theorem https://openai.com/codex/ https://github.com/modelcontextprotocol https://www.mongodb.com/docs/manual/mcp/ https://www.mongodb.com/resources/basics/json-and-bson https://www.mongodb.com/pt-br/docs/atlas/architecture/current/solutions-library/manufacturing-agentic-ai-framework/ Participantes Jéssica Nathany (Software Developer  e  host)LinkedIn: https://www.linkedin.com/in/jessica-nathany-carvalho-freitas-38260868/ Weslley Fratini (Software Developer e co-host)LinkedIn: https://www.linkedin.com/in/weslley-fratini/Jonathan Soares (Senior Project Leader no Mercado Livre e Criador de Conteúdo do Código Simples) Linkedin:https://www.linkedin.com/in/jhonathansoares/Codigo simples: https://codigosimples.net/ Produtora AGO Filmes: https://thiagocarvalhofotografia.wordpress.com/dúvidas, sugestões ou anúncios envie para: [email protected] omnystudio.com/listener for privacy information.See omnystudio.com/listener for privacy information.

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#166 MongoDB como Backend para AI Agents: Atlas Vector Search e Análises do Banco

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This episode was published on June 30, 2025.

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Neste episódio, exploramos o MongoDB além do básico, focando nas tendências e práticas avançadas que estão moldando o futuro dos bancos de dados NoSQL. Conversamos com Jhonathan Soares sobre como usar MongoDB como sistema de cache, os desafios do...

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