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QiushiMar 7 · 8 min read

Building a Tri-Modal Knowledge Engine for CTF Agents

When Librarian gets asked about tcache stashing, it needs to return something more useful than what a base Claude model knows. The model has a general understanding of heap exploitation — it can describe what tcache is, explain the concept of a stash...

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UplatzOct 29, 2025 · 2 min read

🏷 AI Models Explained – RAG (Retrieval-Augmented Generation)

📖 What Is RAG? Retrieval-Augmented Generation (RAG) is a hybrid AI architecture that combines information retrieval with text generation.Instead of relying only on what a model remembers, RAG dynamically fetches facts from external sources (like dat...

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Aman KumarAug 27, 2025 · 4 min read

Exploring LangGraph

After diving into RAGs and advanced pipelines, today we step into something even more powerful: LangGraph. If LangChain gave us building blocks for LLM apps, LangGraph gives us a framework to structure, persist, and orchestrate workflows as graphs. L...

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Sandeep PalApr 17, 2025 · 2 min read

🔍 What Are RAG Applications? | My GenAI Learning Journey

🔍 What Are RAG Applications? | My GenAI Learning Journey Yesterday’s GenAI class was all about RAG — Retrieval-Augmented Generation, a concept that's reshaping how large language models (LLMs) interact with real-world data. As someone diving deep in...

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Building a Tri-Modal Knowledge Engine for CTF Agents

🏷 AI Models Explained – RAG (Retrieval-Augmented Generation)

Exploring LangGraph

🔍 What Are RAG Applications? | My GenAI Learning Journey