Information Retrieval

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

 🔍RAG  Content type: Code
github.com··Hacker News

New comment by jasonlayton4323 in "Ask HN: Who wants to be hired? (June 2026)"

 🧠LLMs

Efficient Graph Indexing for Interval-Aware Vector Search

 🔍RAG  Content type: Academic
arxiv.org·

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

 🔍RAG  Content type: Discussion

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

 🔍RAG  Content type: Blog
elastic.co·

STORM: Stepwise Token Optimization with Reward-Guided Beam Search

 🧠LLMs  Content type: Academic
arxiv.org·

fix(memory): keep FTS keyword search model agnostic · openclaw/openclaw@e3ef136

 🔍RAG  Content type: Code
github.com·

Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS)

 🔍RAG  Content type: Academic
arxiv.org·

Sensing Censorship and Censuring Censors with Censorship-Evident Publishing Systems

 🔍Regex
eprint.iacr.org·

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

 🧠LLMs  Content type: Code
github.com··Hacker News

uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking

 🧠LLMs  Content type: Academic
arxiv.org·

CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic Coding

 🔍RAG  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.

 🧠LLMs  Content type: Code
github.com··DEV

FAST-MEL: A Fast, Accurate, and Storage Efficient Solution for Multimodal Entity Linking

 🔍RAG  Content type: Academic
arxiv.org·

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings

 🔍RAG  Content type: Academic
arxiv.org·

RISE: A Rust Library for Inverted Index Search Engines

 🔍RAG  Content type: Academic
arxiv.org·

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

 🧠LLMs  Content type: Academic
arxiv.org·

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

 🌐IndieWeb  Content type: Code

TrustMargin: Training-Free Arbitration between Parametric Memory and Retrieved Evidence in Large Language Models

 🤖LLM  Content type: Academic
arxiv.org·

Findings of the MAGMaR 2026 Shared Task

 🧠LLMs  Content type: Academic
arxiv.org·

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