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Scoured 36 posts in 7.2 ms

STORM: Stepwise Token Optimization with Reward-Guided Beam Search

 🔍Information Retrieval  Content type: Academic
arxiv.org·

The Clock Said Valid. The World Said Otherwise. *CLAIM-24 update — Self-Correcting Systems series*

 🔍Information Retrieval  Content type: Code
github.com··DEV
Less-relevant results

Agentic search - retrieval, harness, or model?

 🔍Information Retrieval  Content type: Blog

Two-component exciton condensates in an electron–hole bilayer

 🌐Noosphere  Content type: Academic
nature.com
·

Best practices for building a modern app with vector search

 🔍Search Indexing  Content type: Blog
elastic.co·

Geometric approach to strongly correlated bosons: From $N$-representability to the generalized Bose-Einstein condensate force

 🧮SMT Solvers
link.aps.org·

An ode to self-optimizing query plans

 🎯Vector Search

hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.

 🔍Search Indexing  Content type: Code
github.com··Hacker News

Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem

 🔍Information Retrieval  Content type: Discussion

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

 🔍Information Retrieval
buy.polar.sh··DEV

LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks

 🤖AI Agents  Content type: Blog  Content type: Discussion
tildalice.io·

paradedb/drizzle-paradedb: Official extension to Drizzle for use with ParadeDB

 🔍Information Retrieval  Content type: Code

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

 🔍Search Indexing  Content type: Blog
elastic.co·

Scaling the Hong–Ou–Mandel effect to ten-atom interference

 🌐Noosphere
mappingignorance.org·

Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering

 🔍Information Retrieval  Content type: Academic
arxiv.org·

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.

 📌Embedding Retrieval  Content type: Code
github.com··DEV

How to Defend Against Prompt Injection in Production

 🤖AI Agents  Content type: Reference
leanpub.com··DEV

DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single query substrate

 🤖AI Agents  Content type: Code
github.com··Hacker News

OpenSearch in the Agentic Era: What Carl Meadows announced at OpenSearchCon Europe 2026

 🔍Search Indexing  Content type: Blog
opensearch.org·

Bilayer excitons in the Laughlin fractional quantum Hall state

 🌐Noosphere  Content type: Academic
nature.com
·

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