🔗 RAG - tomasz · Scour

The Rise of RAG: Why Retrieval-Augmented Generation Is Redefining Modern AI Systems 🎭Anthropic Claude

·3d

PostgreSQL ext makes LLM available as an index for similarity searches,inference 🌱Stemming

codeberg.org·17h·Hacker News

DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation 🌱Stemming

ML Systems Design series — Retrieval-Augmented Generation (RAG)- Why Your LLM Doesn’t Know About… 🧠LLM Reasoning

·3d

HarinezumIgel/RAG-LCC: A hands‑on RAG experimentation lab. Largely configurable with debug insights. Classification‑driven corpus construction, filter chains, document loading, chat interaction, Open WebUI integration. Experimental by design and not production‑ready. 💬Natural Language Processing

github.com·3d·Hacker News

https://www.together.ai/blog/rag-tutorial-langchain 🧠LLM Reasoning

together.ai·5d

RAG Reigns Supreme: Why Retrieval Still Rules! 💬Natural Language Processing

mlops.community·5d

Embeddings Explained Like Netflix Recommendations 🔍Vector Search

·3d

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey 📰Content Curation

ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation 🧠LLM Reasoning

Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation 📊Search Ranking

https://www.together.ai/blog/embeddings-endpoint-release 🔍Vector Search

together.ai·5d

GraphRAG Analysis, Part 2: Graph Creation and Retrieval vs Vector Database Retrieval 📝TextRank

mlops.community·5d

RAGA: Reading-And-Graph-building-Agent for Autonomous Knowledge Graph Construction and Retrieval-Augmented Generation 🕸️Knowledge Graphs

Predictive Prefetching for Retrieval-Augmented Generation 🥶Cold Start Problem

MARQUIS: A Three-Stage Pipeline for Video Retrieval-Augmented Generation 🔍Vector Search

https://www.together.ai/blog/rag-tutorial-llamaindex 🤖Local LLMs

together.ai·5d

Guided Generation for LLM Outputs 🏭Code Generation

mlops.community·5d

Vector RAG vs LLM-Compiled Wiki: A Preregistered Comparison on a Small Multi-Domain Research 🧠LLM Reasoning

Elastic-dLLM: Position Preserving Context Compression and Augmentation of Diffusion LLMs 🤖Local LLMs

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