RAG

Retrieval-Augmented Generation, Vector Databases, Embeddings, Context Retrieval

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Scoured 218 posts in 10.9 ms

Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels

馃AI AgentsContent type: Blog
socket.devHacker News

Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis

馃挰LLMsContent type: Academic
arxiv.org

See how Etsy, LinkedIn, and Cisco are building prod-ready agents (Sponsor)

馃AI Agents

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

馃AI Agents
drive.google.comHacker News

New comment by gab18 in "Ask HN: Who wants to be hired? (June 2026)"

馃AI AgentsContent type: Discussion

AIchain Skill: A Prompt as a Reusable Object

馃幁Anthropic ClaudeContent type: Code
github.comDEV

How I Built a Hotel AI Platform in Go (And Every Honest Technical Debt We're Carrying)

馃AI AgentsContent type: Blog
medium.com
DEV

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

馃攳SQLContent type: Discussion

How to Set Up Codebase Indexing in Kilo Code

馃OllamaContent type: NewsContent type: Blog
blog.kilo.ai

Best practices for building a modern app with vector search

馃攳Vector DatabasesContent type: Blog
elastic.co

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

馃挰LLMsContent type: Academic
arxiv.org

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

馃AI AgentsContent type: Discussion

Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection

馃挰LLMsContent type: Academic
arxiv.org

New comment by YadavPankaj79 in "Ask HN: Who wants to be hired? (June 2026)"

馃Automation
drive.google.comHacker News

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering

馃挰LLMsContent type: Academic
arxiv.org

New comment by devananddev93 in "Ask HN: Who wants to be hired? (June 2026)"

馃AI AgentsContent type: Discussion

Beyond Probabilistic Similarity: Structural, Temporal, and Causal Limitations of Retrieval-Augmented Generation in the Legal Domain

馃挰LLMsContent type: Academic
arxiv.org

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

馃挰LLMs
drive.google.comHacker News

Evaluating RAG Reliability under Clean, Misleading, and Mixed Retrieval

馃挰LLMsContent type: Academic
arxiv.org

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

馃挰LLMsContent type: Academic
arxiv.org

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