---
title: "Discussion on \"Building AI Knowledge Graph Using Graphiti & Neo4j\" | Hashnode"
description: "Discussion on \"Building AI Knowledge Graph Using Graphiti & Neo4j\". Learn how to build an AI Knowledge Graph using Graphiti and Neo4j to create AI Agent Memory for efficient data retrieval and exploration"
url: "https://hashnode.com/posts/building-ai-knowledge-graph-using-graphiti-and-neo4j/688c7ba27a530af42b1472ff"
---

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# [Building AI Knowledge Graph Using Graphiti & Neo4j](https://blog.futuresmart.ai/building-ai-knowledge-graph-using-graphiti-and-neo4j?utm_source=hashnode&utm_medium=feed)

Learn how to build an AI Knowledge Graph using Graphiti and Neo4j to create AI Agent Memory for efficient data retrieval and exploration

Aug 1, 2025 · 4 min read · blog.futuresmart.ai  
Read the article

-   [#graphiti](https://hashnode.com/tag/graphiti)
-   [#ai-agent-memory](https://hashnode.com/tag/ai-agent-memory)
-   [#ai-knowledge-graphs](https://hashnode.com/tag/ai-knowledge-graphs)

## Written by

[Pradip Nichite](https://hashnode.com/@pnichite)

@pnichite · India

  
[View profile](https://hashnode.com/@pnichite)

Lead Data Scientist | NLP | GPT-3 | GPT-4 | ChatGPT | AWS

🚀 I'm a Top Rated Plus NLP freelancer on Upwork with over $300K in earnings and a 100% Job Success rate. This journey began in 2022 after years of enriching experience in the field of Data Science. 📚 Starting my career in 2013 as a Software Developer focusing on backend and API development, I soon pursued my interest in Data Science by earning my M.Tech in IT from IIIT Bangalore, specializing in Data Science (2016 - 2018). 💼 Upon graduation, I carved out a path in the industry as a Data Scientist at MiQ (2018 - 2020) and later ascended to the role of Lead Data Scientist at Oracle (2020 - 2022). 🌐 Inspired by my freelancing success, I founded FutureSmart AI in September 2022. We provide custom AI solutions for clients using the latest models and techniques in NLP. 🎥 In addition, I run AI Demos, a platform aimed at educating people about the latest AI tools through engaging video demonstrations. 🧰 My technical toolbox encompasses: 🔧 Languages: Python, JavaScript, SQL. 🧪 ML Libraries: PyTorch, Transformers, LangChain. 🔍 Specialties: Semantic Search, Sentence Transformers, Vector Databases. 🖥️ Web Frameworks: FastAPI, Streamlit, Anvil. ☁️ Other: AWS, AWS RDS, MySQL. 🚀 In the fast-evolving landscape of AI, FutureSmart AI and I stand at the forefront, delivering cutting-edge, custom NLP solutions to clients across various industries.

## Responses 3

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[Tech Simplified](https://hashnode.com/@techsimplifiednews)

[Feb 9](https://hashnode.com/posts/building-ai-knowledge-graph-using-graphiti-and-neo4j/688c7ba27a530af42b1472ff/comment/698a682f575957db90801522)

Great article on Graphiti! The combination with Neo4j looks really powerful for building AI agent memory systems. I'm particularly interested in how this approach compares to traditional vector databases for long-term memory persistence. Have you tested this with larger datasets? The structured knowledge graph approach could be game-changing for complex AI workflows.

[Ann C](https://hashnode.com/@ann9)

[Aug 15, 2025](https://hashnode.com/posts/building-ai-knowledge-graph-using-graphiti-and-neo4j/688c7ba27a530af42b1472ff/comment/689fb3bc526f84d3688b4286)

some parts of the code is missing :(

[Sonu Goswami](https://hashnode.com/@saaswithsonu)

[Aug 1, 2025](https://hashnode.com/posts/building-ai-knowledge-graph-using-graphiti-and-neo4j/688c7ba27a530af42b1472ff/comment/688c9247388366545bc151a1)

Really cool to see how AI can remember facts in such a structured way. This kind of long-term memory could make tools and assistants way more useful and context-aware. Nice work!