Neo4j

This week, HackerNoon features Neo4j-  the world's leading graph database, with native graph storage and processing.

Meet Neo4j: HackerNoon Company of the Week

Build a Graph-RAG agent using Neo4j and Milvus to combine graph and vector search, delivering accurate, context-rich answers to complex queries.

Building a Hybrid RAG Agent with Neo4j Graphs and Milvus Vector Search

Combine text extraction, network analysis, and LLM prompting and summarization for improved RAG accuracy.

Building Knowledge Graphs for RAG: Exploring GraphRAG with Neo4j and LangChain

Explore a practical guide for constructing and retrieving information from knowledge graphs in RAG applications with Neo4j and LangChain.

Unlocking Precision in RAG Applications: Harnessing Knowledge Graphs with Neo4j and LangChain

In this article you'll learn more about the NoSQL Graph database - NEO4J.

Exploring the Neo4J Graph Database

How To Build Graphql API with Spring Boot, Neo4j and Kong [Part 4]

In part 1 and part 2, the setting up and testing of GraphQL APIs was covered. In this article, the focus is on the querying of the graph DB, which is Neo4j in this case. For querying, the Neo4j OGM library and Spring Data’s Neo4jRepository will be used.

Building GraphQL API with Spring Boot, Neo4j and Kong – Part 3

Part 1 of this series provides detailed description on GraphQL server and how to start setting it up using springboot, Schema Definition Language (SDL) and its types.

Building Graphql API with Spring Boot, Neo4j and Kong [Part 2]

How To Build Graphql API with Spring Boot, Neo4j and Kong [Part 1]

Recently the Neo4j Developer Relations team decided to devote a few hours to work together, <a href="https://hackernoon.com/tagged/hackathon" target="_blank">hackathon</a> style, to launch a <a href="https://community.neo4j.com/" target="_blank">new Neo4j community forum</a>. One feature we decided was needed for launch was a trending activity feed that showed blog posts and projects that are currently trending in the community.

Building Trending Activity Feeds Using GraphQL And Neo4j

NBC News has <a href="https://www.nbcnews.com/tech/social-media/now-available-more-200-000-deleted-russian-troll-tweets-n844731" target="_blank">publicly released a database of deleted Tweets</a> from their investigation into how Russian Twitter Trolls may have influenced the 2016 US election. You can read about the results of NBC’s analysis in their stories <a href="https://www.nbcnews.com/tech/social-media/russian-trolls-pushed-graphic-racist-tweets-american-voters-n823001" target="_blank">here</a> and <a href="https://www.nbcnews.com/tech/social-media/russian-trolls-went-attack-during-key-election-moments-n827176" target="_blank">here</a>, but the focus of this post will be on <strong>how you can explore the data on your own, using open source data analysis tools. </strong>We’ll show how to get started with the data and hopefully inspire you to dig into the data yourself.

Six Ways To Explore The Russian Twitter Trolls Database In Neo4j

A year ago on one of my projects we got an idea that migrating to Neo4j would be great, cause we having data that would be ideal for graph. After that, our life changed forever.

Life after 1 year of using Neo4J

All powered by DolphinScheduler, YAML, Neo4j, and custom Go tools.

Tracking Data Lineage at Scale: How This Offline Platform Handles Petabytes Daily

Explore how to construct cost-effective knowledge graphs using Relik for entity linking and Neo4j for relationship extraction, bypassing expensive LLMs.

Build Efficient Knowledge Graphs with Relik and LlamaIndex: Entity Linking & Relationship Extraction

Discover the limits of text embeddings in RAG applications and explore how knowledge graphs handle structured data for accurate information retrieval.

Beyond Text Embeddings: Addressing the Gaps in RAG Applications for Structured Data Queries

Use Llama 3.1 native function-calling capabilities to retrieve structured data from a knowledge graph to power your RAG applications.

Enhancing RAG with Knowledge Graphs: Integrating Llama 3.1, NVIDIA NIM, and LangChain for Dynamic AI

Learn how to use GenAI, LLMs, and Python to convert unstructured data into graphs

New GraphAcademy Course: Transform Unstructured Data into Knowledge Graphs with LLMs and Python

Extract and use knowledge graphs in your GenAI applications with the LLM Knowledge Graph Builder.

Mastering LLM Knowledge Graphs: Build and Implement GraphRAG in Just 5 Minutes

Heard lots of things about graph databases and do not know where to use them? Here is an ultimate description for you: use cases, explanations, and examples.

Graph Databases: How Do They work?

Graph databases are anticipated to surpass other types of databases, especially the still-dominant relational database.

When to Use a Relational, Non-Relational, or Graph Database 

In today's economy, more and more companies exist primarily online. While there's much discussion around the consequences of leaving behind the traditional brick and mortar business, one aspect that gets less attention is the significant change in how these companies are now managing their data. Increasingly, businesses seek to understand their customers and how best to meet their needs in a way that monthly reports and KPI charts just can’t address. 

Graph Databases Introduction: The Power of Connected Data

There is a big gap between the consumer, business world, and recent developments in deep tech. This article aims to build a bridge and explain why this is important for future progress.

When is The Singularity Coming?

For the past three years, my role on both the <a href="https://hackernoon.com/tagged/watson-prototypes" target="_blank">Watson Prototypes</a> and Cognitive Environments teams has largely been to make applications that showcase Watson capabilities. We worked on projects everywhere on the spectrum between pure demo and real problem-solving application. Over time, we developed a pattern to approaching each new project that shaved maybe 1–2 weeks of <a href="https://hackernoon.com/tagged/development" target="_blank">development</a> time per engagement, and helped cement a methodology critical to working with probabilistic systems.

Prototyping with Watson

part 1&nbsp;: <a href="https://medium.com/@theburningmonk/yubls-road-to-serverless-part-1-overview-ca348370acde" target="_blank">overview</a>

Yubl’s road to Serverless — Part 5, Building better recommendations with Lambda, BigQuery and…

Neo4j is the world's leading graph database, with native graph storage and processing.

NEO4J

neo4j.com

500-1000 emps

Since 2007

Neo4j's stories on HackerNoon

Meet Neo4j: HackerNoon Company of the Week

Building a Hybrid RAG Agent with Neo4j Graphs and Milvus Vector Search

Building Knowledge Graphs for RAG: Exploring GraphRAG with Neo4j and LangChain

Unlocking Precision in RAG Applications: Harnessing Knowledge Graphs with Neo4j and LangChain

Exploring the Neo4J Graph Database

How To Build Graphql API with Spring Boot, Neo4j and Kong [Part 4]

Building GraphQL API with Spring Boot, Neo4j and Kong – Part 3

Building Graphql API with Spring Boot, Neo4j and Kong [Part 2]

How To Build Graphql API with Spring Boot, Neo4j and Kong [Part 1]

Building Trending Activity Feeds Using GraphQL And Neo4j

Six Ways To Explore The Russian Twitter Trolls Database In Neo4j

Life after 1 year of using Neo4J

Tracking Data Lineage at Scale: How This Offline Platform Handles Petabytes Daily

Build Efficient Knowledge Graphs with Relik and LlamaIndex: Entity Linking & Relationship Extraction

Beyond Text Embeddings: Addressing the Gaps in RAG Applications for Structured Data Queries

Enhancing RAG with Knowledge Graphs: Integrating Llama 3.1, NVIDIA NIM, and LangChain for Dynamic AI

New GraphAcademy Course: Transform Unstructured Data into Knowledge Graphs with LLMs and Python

Mastering LLM Knowledge Graphs: Build and Implement GraphRAG in Just 5 Minutes

Graph Databases: How Do They work?

When to Use a Relational, Non-Relational, or Graph Database

Graph Databases Introduction: The Power of Connected Data

When is The Singularity Coming?

Prototyping with Watson

Yubl’s road to Serverless — Part 5, Building better recommendations with Lambda, BigQuery and…

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