neo4j Reviews

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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 / 6 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 / 7 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 / over 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 / over 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

GitHub Actions mentions (330)

• Building an agentic PR reviewer with Antigravity SDK

  With this transition timeline in place, development teams relying on Gemini CLI for repository management and automated tasks must establish a migration path. In this post, I will show you how to transition seamlessly by building an automated "first-pass" pull request reviewer using the Google Antigravity SDK and the run-agy-sdk composite GitHub Action. - Source: dev.to / about 2 months ago

• How to Build a CI/CD Pipeline from Scratch

  Choose a Git platform. GitHub, GitLab, or Bitbucket. All three provide CI/CD capabilities. GitHub Actions and GitLab CI are the most popular and best-documented. - Source: dev.to / about 2 months ago

• How I built pairwise AI model compare pages with Claude Haiku and a budget cap

  Drive pair selection from search query logs. Right now I pick pairs by download rank. A better signal would be which pairs users actually search for. Pagefind runs client-side and doesn't log queries to any server, so I'd need a thin logging endpoint — something like a POST to a GitHub Actions-triggered function that appends to a JSONL file. Then the ETL reads the top-N ungenerated pairs from the log. This is a... - Source: dev.to / 3 months ago

• The top 15 developer productivity tools in 2026

  GitHub Actions lets developers automate workflows directly within GitHub. You write YAML workflow files that trigger on repository events to build, test, and deploy code. Actions provides hosted runners and supports matrix builds, so you can test across multiple OS versions in parallel. - Source: dev.to / 3 months ago

• Jenkins as a Code, or how I stopped clicking around in the UI

  On merge, GitHub Actions applies infra changes via Terraform, and the Jenkins seeder picks up new DSL files on its next poll. - Source: dev.to / 3 months ago