RAG

Retrieval Augmented Generation, Vector Search, Embeddings, Context

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Scoured 287 posts in 12.3 ms

When Is It Actually a RAG Problem?

 💬Prompt Engineering

AIchain Skill: A Prompt as a Reusable Object

 🔎Information Retrieval  Content type: Code
github.com··DEV

SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance

 🗺️Region Inference  Content type: Academic
arxiv.org·

SaqlainXoas/llm-system-patterns: A docs-first guide to LLM system design — hybrid search, embedding pipelines, reranking, and LLM-as-judge patterns.

 🏗️Systems Design  Content type: Code

Best practices for building a modern app with vector search

 🔎Information Retrieval  Content type: Blog
elastic.co·

New comment by t_gamer_kle in "Ask HN: Who wants to be hired? (June 2026)"

 💬Prompt Engineering  Content type: Discussion

New comment by Ayaz_Saifi in "Ask HN: Who wants to be hired? (June 2026)"

 🤖AI

IA-RAG: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge Retrieval

 🔎Information Retrieval  Content type: Academic
arxiv.org·

Revisiting Vul-RAG: Reproducibility and Replicability of RAG-based Vulnerability Detection with Open-Weight Models

 🚂Cranelift IR  Content type: Academic
arxiv.org·

QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving

 🗺️Region Inference  Content type: Academic
arxiv.org·

LazyAttention: Efficient Retrieval-Augmented Generation with Deferred Positional Encoding

 📋JSON Parsing  Content type: Academic
arxiv.org·

Cascading Hallucination in Agentic RAG: The CHARM Framework for Detection and Mitigation

 🔍Search Algorithms  Content type: Academic
arxiv.org·

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