From RAG to memory systems
A vector database can retrieve similar chunks. That is useful, but it is not memory. Code: https://github.com/oracle-devrel/orac... In this walkthrough, we show what has to sit around retrieval to make #ai #agents actually stateful: typed memory, scoped records, promotion gates, fallback retrieval, prompt assembly, and traces. If you are building agent platforms, RAG apps, copilots, or workflow agents, this is the shift from top-k search to real memory architecture. The core idea: models are shared. The memory system is yours.

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Is RAG Still Needed? Choosing the Best Approach for LLMs

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I am done with Golang

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Better Than RAG: Build a Lightweight Knowledge Graph (JSON + 3 C# Classes)

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Ex-Google Recruiter Explains Why "Lying" Gets You Hired

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I Think They Are Lying To You

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Gemma 4 12B QAT vs non-QAT - 16GB VRAM Local LLM setup

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Don't learn AI Agents without Learning these Fundamentals

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Stop Prompting Claude. Use Karpathy's Method Instead.

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I Made Opus 4.8 and Fable 5 Build the Same App (RAW RESULTS)

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They Lied to You About AI (This Study Proves It)

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DUNE 3 Official Trailer (2026)

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Anthropic begged the world to stop AI… then shipped this

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RAG Explained For Beginners

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This LPU is 2000% Faster Than a GPU!

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Passkeys Explained: Are They Actually Better Than Passwords?

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Why AI Has Failed to Take Your Job Since 1976

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Headroom: The Netflix Tool That Makes AI Agents 10x Cheaper

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AI Did This.

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10 Images | Coastal Citrus Floral Summer Paintings Screensaver l Frame TV ART |

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