Join us for a live conversation with Ravindranatha Anthapu and Siddhant Agarwal, co-authors of Building Neo4j-Powered Applications with LLMs. Dive into the journey of crafting intelligent, graph-based AI systems grounded in Retrieval-Augmented Generation (RAG) and Neo4j knowledge graphs. Explore how their book equips you with hands-on experience in combining vector search, Cypher modeling, Haystack integrations, and deployment on Google Cloud.

Guests: Ravi Anthapu & Siddhant Agarwal https://www.linkedin.com/in/ravindranatha-anthapu/ https://www.linkedin.com/in/sidagarwal04/

neo4j #graphdatabase #genai #graphrag #llm

Join us for a live conversation with Ravindranatha Anthapu and Siddhant Agarwal, co-authors of Building Neo4j-Powered Applications with LLMs. Dive into the journey of crafting intelligent, graph-based AI systems grounded in Retrieval-Augmented Generation (RAG) and Neo4j knowledge graphs. Explore how their book equips you with hands-on experience in combining vector search, Cypher modeling, Haystack integrations, and deployment on Google Cloud.

Guests: Ravi Anthapu & Siddhant Agarwal https://www.linkedin.com/in/ravindranatha-anthapu/ https://www.linkedin.com/in/sidagarwal04/

neo4j #graphdatabase #genai #graphrag #llm

Join us for a live conversation with Ravindranatha Anthapu and Siddhant Agarwal, co-authors of Building Neo4j-Powered Applications with LLMs. Dive into the journey of crafting intelligent, graph-based AI systems grounded in Retrieval-Augmented Generation (RAG) and Neo4j knowledge graphs. Explore how their book equips you with hands-on experience in combining vector search, Cypher modeling, Haystack integrations, and deployment on Google Cloud.

Guests: Ravi Anthapu & Siddhant Agarwal https://www.linkedin.com/in/ravindranatha-anthapu/ https://www.linkedin.com/in/sidagarwal04/

neo4j #graphdatabase #genai #graphrag #llm

Join us for a live conversation with Ravindranatha Anthapu and Siddhant Agarwal, co-authors of Building Neo4j-Powered Applications with LLMs. Dive into the journey of crafting intelligent, graph-based AI systems grounded in Retrieval-Augmented Generation (RAG) and Neo4j knowledge graphs. Explore how their book equips you with hands-on experience in combining vector search, Cypher modeling, Haystack integrations, and deployment on Google Cloud.

Guests: Ravi Anthapu & Siddhant Agarwal https://www.linkedin.com/in/ravindranatha-anthapu/ https://www.linkedin.com/in/sidagarwal04/

neo4j #graphdatabase #genai #graphrag #llm

June is Neo4j Certification Month in the Neo4j Community, a perfect time to level up your graph skills and explore the future of intelligent applications.

Join us for a special livestream AMA with Siddhant Agarwal, Neo4j Developer Relations Community Leader and author of and author of the newly published Building Neo4j-Powered Applications with LLMs

In this session, we’ll dive into how developers can:

• Get started with graph databases and Neo4j
• Integrate large language models (LLMs) and generative AI into real-world apps
• Take the next step toward Neo4j Certification

Whether you're just beginning your graph journey or ready to architect AI-powered solutions, this is your opportunity to ask questions, get expert insight, and find your path to becoming a certified graph practitioner.

June is Neo4j Certification Month in the Neo4j Community, a perfect time to level up your graph skills and explore the future of intelligent applications.

Join us for a special livestream AMA with Siddhant Agarwal, Neo4j Developer Relations Community Leader and author of and author of the newly published Building Neo4j-Powered Applications with LLMs

In this session, we’ll dive into how developers can:

• Get started with graph databases and Neo4j
• Integrate large language models (LLMs) and generative AI into real-world apps
• Take the next step toward Neo4j Certification

Whether you're just beginning your graph journey or ready to architect AI-powered solutions, this is your opportunity to ask questions, get expert insight, and find your path to becoming a certified graph practitioner.

June is Neo4j Certification Month in the Neo4j Community, a perfect time to level up your graph skills and explore the future of intelligent applications.

Join us for a special livestream AMA with Siddhant Agarwal, Neo4j Developer Relations Community Leader and author of and author of the newly published Building Neo4j-Powered Applications with LLMs

In this session, we’ll dive into how developers can:

• Get started with graph databases and Neo4j
• Integrate large language models (LLMs) and generative AI into real-world apps
• Take the next step toward Neo4j Certification

Whether you're just beginning your graph journey or ready to architect AI-powered solutions, this is your opportunity to ask questions, get expert insight, and find your path to becoming a certified graph practitioner.

Dive into building applications that combine the power of Large Language Models (LLMs) with Neo4j knowledge graphs, Haystack, and Spring AI to deliver intelligent, data-driven recommendations and search outcomes. This book provides actionable insights and techniques to create scalable, robust solutions by leveraging the best-in-class frameworks and a real-world project-oriented approach. What this Book will help me do Understand how to use Neo4j to build knowledge graphs integrated with LLMs for enhanced data insights. Develop skills in creating intelligent search functionalities by combining Haystack and vector-based graph techniques. Learn to design and implement recommendation systems using LangChain4j and Spring AI frameworks. Acquire the ability to optimize graph data architectures for LLM-driven applications. Gain proficiency in deploying and managing applications on platforms like Google Cloud for scalability. Author(s) Ravindranatha Anthapu, a Principal Consultant at Neo4j, and Siddhant Agarwal, a Google Developer Expert in Generative AI, bring together their vast experience to offer practical implementations and cutting-edge techniques in this book. Their combined expertise in Neo4j, graph technology, and real-world AI applications makes them authoritative voices in the field. Who is it for? Designed for database developers and data scientists, this book caters to professionals aiming to leverage the transformational capabilities of knowledge graphs alongside LLMs. Readers should have a working knowledge of Python and Java as well as familiarity with Neo4j and the Cypher query language. If you're looking to enhance search or recommendation functionalities through state-of-the-art AI integrations, this book is for you.