Hacker News with Generative AI: Knowledge Graphs

Representing web applications as knowledge graphs (arxiv.org)
Traditional methods for crawling and parsing web applications predominantly rely on extracting hyperlinks from initial pages and recursively following linked resources.
The Knowledge Graph: things, not strings (2012) (google)
Search is a lot about discovery—the basic human need to learn and broaden your horizons. But searching still requires a lot of hard work by you, the user. So today I’m really excited to launch the Knowledge Graph, which will help you discover new information quickly and easily.
Synthetic Cot Reasoning Trace Generation from Knowledge Graphs (extrasensoryai.github.io)
We present a system for generating synthetic reasoning data using program synthesis, designed for the infusion of domain-specific reasoning from knowledge graphs into the training data for large language models.
Synthetic Cot Reasoning Trace Generation from Knowledge Graphs (extrasensoryai.github.io)
We present a system for generating synthetic reasoning data using program synthesis, designed for the infusion of domain-specific reasoning from knowledge graphs into the training data for large language models.
Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine (arxiv.org)
Biomedical knowledge is uniquely complex and structured, requiring distinct reasoning strategies compared to other scientific disciplines like physics or chemistry.
Show HN: TrustGraph – Do More with AI with Less (Open Source AI Infrastructure) (github.com/trustgraph-ai)
TrustGraph deploys a full E2E (end-to-end) AI solution with native GraphRAG in minutes. Autonomous Knowledge Agents build ultra-dense knowlege graphs to fully capture all knowledge context. TrustGraph is designed for maximum flexibility and modularity whether it's calling Cloud LLMs or deploying SLMs On-Device. TrustGraph ingests data to build a RDF style knowledge graph to enable accurate and private RAG responses using only the knowledge you want, when you want.
Wikidata as a Giant Crosswalk File (dbreunig.com)
Wikidata is Wikipedia’s structuralist younger brother. It’s contents are seemingly exhaustive, but rather than readable articles, Wikidata expresses itself with structured data. Pick a subject and check out it’s page; it’s like reading the back of a baseball card for, well, anything.
Show HN: Zep – Open-Source Graph Memory for AI Apps (getzep.com)
Zep Community Edition, open-sourced today, is the first Zep product powered by a Knowledge Graph, allowing you to build more accurate and personalized Agents.
Knowledge graphs using Ollama and Embeddings to answer and visualizing queries (github.com/punnerud)
This application uses a local Llama model to answer queries, build embeddings, and create a knowledge graph for exploring related questions and answers.
Show HN: Graphiti – LLM-Powered Temporal Knowledge Graphs (github.com/getzep)
Graphiti builds dynamic, temporally aware Knowledge Graphs that represent complex, evolving relationships between entities over time.
Show HN: graphiti – Temporal Knowledge Graphs for Agentic Applications (ycombinator.com)
What Is a Knowledge Graph? (neo4j.com)
Build a Knowledge Graph-Based Agent with Llama 3.1, Nvidia Nim, and LangChain (neo4j.com)
Knowledge Graphs in RAG: Hype vs. Ragas Analysis (aiencoder.substack.com)
GraphRAG with Wikipedia (hashnode.dev)
Quaternion Knowledge Graph Embeddings (2019) (arxiv.org)