🔍 RAG - zenguine · Scour

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

drive.google.com··Hacker News

Kyros-494/kyros-ai: Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

🤖Agents Code

github.com··r/CLine

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track

⚙️Compilers Academic

Less-relevant results

CompRank: Efficient LLM Reranking via Token-Level Compression and Decoding-Free Scoring

🧠LLMs Academic

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

🕸️LangGraph Discussion

news.ycombinator.com··Hacker News

Context engineering for AI agents: the infrastructure behind every decision

🤖Agents Blog

AIchain Skill: A Prompt as a Reusable Object

🤖Agents Code

github.com··DEV

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

🗄️Vector Databases Blog

When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking Pipelines

🧠LLMs Academic

TICoder: A Repository-Level Code Generation Framework with Test-Driven Planning and Implementation-Aware Reuse

💻Code Generation Academic

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

🤖Agentic AI Discussion

news.ycombinator.com··Hacker News

Efficient Graph Indexing for Interval-Aware Vector Search

🗄️Vector Databases Academic

ashp15205/guardian-runtime: A zero-latency, local-first runtime firewall for LLMs. Intercept every prompt and response locally to stop data leaks and runaway token costs.

🤖Agents Code

github.com··Hacker News, Hacker News

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

drive.google.com··Hacker News

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering

🧠LLMs Academic

MolE-RAG: Molecular Structure-Enhanced Retrieval-Augmented Generation for Chemistry

🧠LLMs Academic

shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.

✍️Prompt Engineering Code

github.com··DEV

LongRTL: Graph-Similarity-Guided LLM-driven Long Context RTL Optimization

🧠LLMs Academic

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

🧠LLMs Academic

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

🗄️Vector Databases Academic

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