Allah
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♥️ I LOVE ALLAH♥️
#خاتم_النبیین_محمدﷺ#درود_وقرآن
Google and Anthropic treat retrieval the same way: as a separate service that agents call as a tool
1 - anthropic exposes it via MCP
2 - google puts RAG Engine next to MCP servers inside the Gemini agent platform
old naive RAG was a one-shot pipeline inside the app. it created two problems: stale embeddings and duplicated infrastructure
the fix is a continuous ingestion layer that syncs by content hashes and stays available through a single API. agents then call it as a tool inside their loop:
reason → search → read → refine
chunks still have limits. they ignore semantic boundaries, version and source
a stronger unit is a structured block: question embedding + verified answer + source and version metadata
a detailed breakdown by the author in the comments
This last weekend has definitely been one of the highlights of my streaming career.
Eternally grateful for the opportunity to have competed for Canada, even more grateful that I got to do it alongside new (and old) friends.
Réveillez l’ecaflip qui est en vous ! Tentez votre chance de gagner un lot de 6 mystery box dragons en atteignant les 750 Retweet de ce message ! #Dofus
Tirage au sort parmi les RT lundi 4 mars à 15h.