--- title: Best neo4j posts — June 2024 | daily.dev description: The most upvoted neo4j posts from June 2024, curated by the daily.dev community. canonical: https://daily.dev/sources/neo4j/best-of/2024/06 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/sources/neo4j/best-of/2024/06 og:type: website og:site_name: daily.dev og:title: Best neo4j posts — June 2024 | daily.dev og:description: The most upvoted neo4j posts from June 2024, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of neo4j — June 2024 1. 1 [](https://daily.dev/posts/graph-vs-vector-rag-benchmarking-optimization-levers-and-a-financial-analysis-example-grs9ekwab "Graph vs. Vector RAG — Benchmarking, Optimization Levers, and a Financial Analysis Example") Article neo4j · 2y Graph vs. Vector RAG — Benchmarking, Optimization Levers, and a Financial Analysis Example Exploring the use of graph and vector search in retrieval-augmented generation (RAG) systems, focusing on their application in financial analysis. Discusses the differences between graph and vector search, optimization levers for graph search, and the combination of both methods in RAG. Highlights the benefits of graph databases for modeling complex relationships and dependencies, as well as the limitations and complementarity of vector search. Demonstrates the application of graph and vector search in a financial report RAG example. 46 2. 2 [](https://daily.dev/posts/get-started-with-graphrag-neo4j-s-ecosystem-tools-6jqjkn05m "Get Started With GraphRAG: Neo4j’s Ecosystem Tools") Article neo4j · 2y Get Started With GraphRAG: Neo4j’s Ecosystem Tools Neo4j’s GraphRAG Ecosystem Tools provide open-source resources to enhance GenAI applications using knowledge graphs. GraphRAG addresses issues like hallucination and lack of domain-specific context by combining retrieval-augmented generation with structured and semi-structured data. The tools include the LLM Knowledge Graph Builder for transforming unstructured text into knowledge graphs, and NeoConverse for generating Cypher graph queries from natural language questions. These tools integrate seamlessly with various programming languages and frameworks, making it easier to build and optimize GenAI applications. 26 3. 3 [](https://daily.dev/posts/llm-knowledge-graph-builder-from-zero-to-graphrag-in-five-minutes-4es97nhfj "LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes") Article neo4j · 2y LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes The LLM Knowledge Graph Builder by Neo4j transforms unstructured data into knowledge graphs using machine learning models and a no-code interface. It supports various data sources, including PDFs, web pages, and YouTube videos. The application identifies entities, constructs graphs, and provides an intuitive web interface for interaction. Users can visualize the generated graphs and query data using a Retrieval-Augmented Generation (RAG) chatbot. 24 [See all neo4j archives](/sources/neo4j/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/sources/neo4j/best-of/2024/06#page","url":"https://daily.dev/sources/neo4j/best-of/2024/06","name":"Best neo4j Posts — June 2024","description":"The most upvoted neo4j posts from June 2024, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/sources/neo4j/best-of/2024/06#items","numberOfItems":3,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/graph-vs-vector-rag-benchmarking-optimization-levers-and-a-financial-analysis-example-grs9ekwab","name":"Graph vs. Vector RAG — Benchmarking, Optimization Levers, and a Financial Analysis Example"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/get-started-with-graphrag-neo4j-s-ecosystem-tools-6jqjkn05m","name":"Get Started With GraphRAG: Neo4j’s Ecosystem Tools"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/llm-knowledge-graph-builder-from-zero-to-graphrag-in-five-minutes-4es97nhfj","name":"LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Sources","item":"https://daily.dev/sources"},{"@type":"ListItem","position":3,"name":"neo4j","item":"https://daily.dev/sources/neo4j"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/sources/neo4j/best-of"},{"@type":"ListItem","position":5,"name":"June 2024"}]}]} ```