Refined GitHub Reviews

neo4j Reviews

Refined GitHub mentions (17)

• GitHub unwanted UX change: issue links now open in a popup

  There's already something like this for GitHub: https://github.com/refined-github/refined-github. - Source: Hacker News / 2 months ago

• Turn Dependabot Off

  The refined github extension[0] has some defaults that make the default view a little more tolerable. Past that I can personally recommend Renovate, which supports far more ecosystems and customisation options (like auto merging). [0]: https://github.com/refined-github/refined-github. - Source: Hacker News / 5 months ago

• Show HN: Gitcasso – Syntax Highlighting and Draft Recovery for GitHub Comments

  Refined-GitHub > Highlights > Adding comments: https://github.com/refined-github/refined-github#writing-comments. - Source: Hacker News / 9 months ago

• 🔓5 Open Source Tools That Changed My Development Workflow Forever

  Refined GitHub addresses these issues with a lot of improvements that can make GitHub more productive. Some great features that it has:. - Source: dev.to / about 1 year ago

• 15,000 lines of verified cryptography now in Python

  The Refined GitHub extension [1] automatically hides comments that add nothing to the discussion. [2] [1] https://github.com/refined-github/refined-github. - Source: Hacker News / about 1 year ago

neo4j mentions (36)

• How to give Claude Code persistent memory with a self-hosted mem0 MCP server

  The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 5 months ago

• The Context Graph Manifesto

  Perhaps the biggest promoter of the term has been Philip Rathle from Neo4j, which offers the best-known graph database system for storing knowledge graphs. But here's where the confusion starts: Is a knowledge graph something you store, or is it how you store something? It's not just a knowledge graph—it's also a graph database. That distinction matters, but the boundaries are blurry. - Source: dev.to / 6 months ago

• 6 retrieval augmented generation (RAG) techniques you should know

  The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / about 1 year ago

• LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python

  Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / about 1 year ago

• 10 Ways AI Can Speed Up your Mobile App Development

  Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / over 1 year ago