🕸️ Knowledge Graphs - laurynas · Scour

Querying Structured Data Through Natural Language Using Language Models 🔍Semantic Search

arxiv.org·6h·

Wikidata: WikiProject Ontology/Ontology Course 👆human-computer interaction

wikidata.org·4d·Hacker News·

My 11-step GraphRAG pipeline, what worked, and what's still broken 🕷️GraphRAG

news.ycombinator.com·1d·Hacker News·

Your File System Is Already A Graph Database ✨UI generation

rumproarious.com·7h·Hacker News·

simonsysun/seeklink: SeekLink — hybrid semantic search and link discovery MCP server for Obsidian vaults. Fully local, native CJK support. 🔍Semantic Search

github.com·1d·Hacker News·

Create Context Graph: AI agents with graph memory, scaffolded in seconds ⚙Context engineering

create-context-graph.vercel.app·6d·Hacker News·

Killing Slack was the only way to make AI accurate ⚙Context engineering

promptql.io·3d·Hacker News·

Paper Cuts #2: RAG is dead, long live memory ⚙Context engineering

sderosiaux.substack.com·6d·Substack·

LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation 🕷️GraphRAG

arxiv.org·6h·

Wikidata for Developers 👆human-computer interaction

wikidata.org·2d·Hacker News·

When Modalities Remember: Continual Learning for Multimodal Knowledge Graphs 🕷️GraphRAG

arxiv.org·6h·

ryaker/SparrowDB: Embedded graph database — Cypher queries, no server, no subscription. Rust-native with Python, Node.js & Ruby bindings. 🕷️GraphRAG

github.com·3d·Hacker News·

LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction 🕷️GraphRAG

arxiv.org·6h·

Principled and Scalable Diversity-Aware Retrieval via Cardinality-Constrained Binary Quadratic Programming 🎯Reranking

arxiv.org·6h·

deepsweet/mdn: Offline-first MDN Web Docs RAG-MCP server ready for semantic search with hybrid vector and full‑text retrieval. 🔍Semantic Search

github.com·4d·Hacker News·

Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework 🎯Reranking

arxiv.org·6h·

Induced-Fit Retrieval: A 1958 biochemistry concept beats RAG at multi-hop 🎯Reranking

github.com·5d·DEV, Hacker News·

Beyond the Parameters: A Technical Survey of Contextual Enrichment in Large Language Models: From In-Context Prompting to Causal Retrieval-Augmented Generation 🌫Diffusion language models

arxiv.org·6h·

r-follador/TeletextSignals: A fully local Retrieval-Augmented Generation (RAG) implementation for querying 25 years of Swiss Teletext news (500k articles in German language) 🎯Reranking

github.com·4d·Hacker News·

Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation 🕷️GraphRAG

arxiv.org·5d·

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