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Build a Local RAG Reasoning Agent with Qwen 3, using a Vector Database with Web Search for fallback. You can also choose Gemma 3 or DeepSeek R1. 100% free, local, and Opensource.

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Unwind AI

18,221 subscribers

52,006 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 9

Фото профиля Unwind AI
Unwind AI1 год назад

Opensource code: Step-by-step tutorial:

Фото профиля GitProtect.io
GitProtect.io2 лет назад

Automated GitHub, GitLab, Bitbucket and Jira backups, security compliance, data migration and every-scenario-ready Disaster Recovery for 360 cyber resilience. Schedule a custom demo or try 14 days for free.

Фото профиля Kairos Data Labs
Kairos Data Labs1 год назад

This is awesome! Thanks for sharing!

Фото профиля Unwind AI
Unwind AI1 год назад

you're welcome

Фото профиля Gargi
Gargi1 год назад

Sweeet!

Фото профиля Unwind AI
Unwind AI1 год назад

yess

Фото профиля @ReneKriest
@ReneKriest1 год назад

Nice job. 👍🏻 Out of curiosity: how does your stack compared against Haystack ? That’s my fav at the moment for local RAG systems.

Фото профиля Marble68
Marble681 год назад

Pretty cool little project.

Фото профиля Daniyal Shaik(✸,✸)
Daniyal Shaik(✸,✸)1 год назад

Nerd mode: ACTIVATED 🤓 Local AI that actually respects my privacy? Shut up and take my GitHub stars! 🚀

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