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@mollyvibes32:

Mollyvibes
Mollyvibes
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Thursday 23 November 2023 10:09:02 GMT
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aurimas11
aurimas11 :
krasivaja 🥰
2023-11-23 10:16:24
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andkaf071
Andrzej :
🌹
2023-11-23 10:24:11
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Тренд түсіреміз деп шаршааап кеттік @prosta_joma 😤😤😤
Тренд түсіреміз деп шаршааап кеттік @prosta_joma 😤😤😤
#tiktokviral #coctail #Summer
#tiktokviral #coctail #Summer
Знаки, які повинен знати кожен водій🚘 #знаки #дорожнізнаки #водіям #🚘
Знаки, які повинен знати кожен водій🚘 #знаки #дорожнізнаки #водіям #🚘
#صقوري #شعب_الصيني_ماله_حل😂😂 #السعودية #الامارات #عمان
#صقوري #شعب_الصيني_ماله_حل😂😂 #السعودية #الامارات #عمان
Stop guessing your RAG settings—this AI agent optimizes them automatically. Autoretrieval is the autonomous AI agent that optimizes document search pipelines without human intervention. Most retrieval systems are static and brittle, requiring manual tuning to work well with your specific data. This tool changes that by letting an AI agent experiment on its own. You point it at your documents, and it iteratively tweaks chunk sizes, embedding models, and keyword filters. The agent runs evaluations, checks if accuracy improved, and keeps only the successful changes. It repeats this loop overnight, waking up to a significantly better search setup. You get a tailored retrieval system that actually works for your content, built through trial and error rather than guesswork. Open source: daly2211/autoretrieval Spotted on Hacker News. Follow for more open source project drops. #RAG #AIAgents #LLM
Stop guessing your RAG settings—this AI agent optimizes them automatically. Autoretrieval is the autonomous AI agent that optimizes document search pipelines without human intervention. Most retrieval systems are static and brittle, requiring manual tuning to work well with your specific data. This tool changes that by letting an AI agent experiment on its own. You point it at your documents, and it iteratively tweaks chunk sizes, embedding models, and keyword filters. The agent runs evaluations, checks if accuracy improved, and keeps only the successful changes. It repeats this loop overnight, waking up to a significantly better search setup. You get a tailored retrieval system that actually works for your content, built through trial and error rather than guesswork. Open source: daly2211/autoretrieval Spotted on Hacker News. Follow for more open source project drops. #RAG #AIAgents #LLM
3 days until tour 🍻
3 days until tour 🍻

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