📚 RAG - ghosh.debasish · Scour

Vector Database 🗄️Vector Databases

newsletter.systemdesign.one

·5d

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models 🧠Reasoning Models

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk 🛢️Database Internals

venturebeat.com·3d

The RAG Identity Crisis: Why Your Vector DB Needs “Folders” to Scale 🌲LSM Trees

Designing a Memory System for LLM-Based Agents 🛢️Database Internals

zby.github.io·6d·Hacker News

PRAG End-to-End Privacy-Preserving Retrieval-Augmented Generation 🔧Intermediate Representations

Embeddings & Vector Search 🗄️Vector Databases

taoofmac.com·5d

Generative AI-Based Virtual Assistant using Retrieval-Augmented Generation: An evaluation study for bachelor projects 📜Constitutional AI

How to Build Your Own Language-Specific LLM [Full Handbook] 🧠LLMs

freecodecamp.org·5d

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation 🎲Probabilistic Data Structures

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving 🗄️KV Cache

Structure Guided Retrieval-Augmented Generation for Factual Queries 🧮Denotational Semantics

RAG-Enhanced Kernel-Based Heuristic Synthesis (RKHS): A Structured Methodology Using Large Language Models for Hardware Design 🔨Program Synthesis

Evergreen: Efficient Claim Verification for Semantic Aggregates 🧠Reasoning Models

My RAG Pipeline Was 84% Confident 🛢️Database Internals

github.com·5d·DEV

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation 🧠LLMs

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent 🧠Reasoning Models

BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets 🧠LLMs

Reducing Redundancy in Retrieval-Augmented Generation through Chunk Filtering 🎲Probabilistic Data Structures

Breaking the Autoregressive Chain: Hyper-Parallel Decoding for Efficient LLM-Based Attribute Value Extraction 🌊Streaming Algorithms

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