January-February Blogs Update

Neo4j Corporate

• What Is Retrieval-Augmented Generation (RAG)? — Overcoming the Limitations of Fine-Tuning & Vector-Only RAG by @Zach and @Enzo

Neo4j Developer

• Why Vector Search Didn’t Work for Your RAG Solution? by @Fanghua(Joshua) Yu
• Building A Graph & LLM-Powered RAG Application from PDF Documents by @Fanghua(Joshua) Yu
• NeoDash 2.4: Unleashing the Power of Neo4j Graph Dashboards by @Niels
• YouTube Transcripts Into Knowledge Graphs for RAG Applications by @Alex Gilmore
• Unlocking DAGs in Neo4j: From Basics to Critical Path Analysis by @pierre.halftermeyer
• Langchain v0.1 – Updating GraphAcademy Neo4j & LLM Courses by @martin.ohanlon
• A GenAI-Powered Song Finder in Four Lines of Code by @christoffer.bergman
• Object Mapping in the Neo4j Driver for .NET by @Richard Irons
• Slow Cypher Statements and How to Fix Them by @adam.cowley
• An Extremely Simple but Effective Way to Improve Search Over Text Embeddings by @Fanghua(Joshua) Yu
• Using LangChain and Neo4j to Process YouTube Playlists and Perform Q&A Flow
• PyNeoInstance: A User-Friendly Python Library for Neo4j by @Alex Gilmore
• JSON-based Agents With Ollama & LangChain by @Tomaz Bratanic
• Clustering Large Graphs With CLARANS by @Nathan Smith

Our top-performing blogs

1. Unifying LLMs & Knowledge Graphs for GenAI by @Alexander Erdl
2. Graph Databases for Beginners: Why Graph Technology Is the Future
3. GenAI Stack Walkthrough: Behind the Scenes With Neo4j, LangChain, and Ollama in Docker by @michael , @Tomaz Bratanic
4. Knowledge Graphs & LLMs: Multi-Hop Question Answering by @Tomaz Bratanic
5. Using a Knowledge Graph to Implement a DevOps RAG Application by @Tomaz Bratanic