Implementing ‘From Local to Global’ GraphRAG with Neo4j and LangChain: Constructing the Graph
Jul 09 22 mins read
Learn how to combine text extraction, network analysis, and LLM prompting and summarization for improved RAG accuracy. Read more →
LangChain Library Adds Full Support for Neo4j Vector Index
Apr 16 5 mins read
Learn how to use LangChain and Neo4j vector index to build a simple RAG application that can effectively answer questions. Read more →
chatgptchunkinglangchainlangchain libraryllmNeo4jneo4j vector indexquestion answeringragretrieval augmented generationvector indexvector searchwikipedia
Enhancing the Accuracy of RAG Applications With Knowledge Graphs
Mar 30 8 mins read
A practical guide to constructing and retrieving information from knowledge graphs in RAG applications with Neo4j and LangChain. Read more →
Knowledge Graphs & LLMs: Multi-Hop Question Answering
Mar 28 10 mins read
Learn how to retrieve information that spans across multiple documents through multi-hop question answering using knowledge graphs and LLMs. Read more →
Using a Knowledge Graph to Implement a RAG Application
Mar 12 9 mins read
Learn how to implement a knowledge graph-based RAG application with LangChain to support your DevOps team. Read more →
chatgptdependency graphknowledge graphslangchainllmNeo4jragretrieval augmented generationunstructured-datavector similarity searchvector-database
Implementing Advanced Retrieval RAG Strategies With Neo4j
Mar 12 7 mins read
In this blog, you will learn how to use the neo4j-advanced-rag template in LangServe Playground to implement advanced RAG strategies. Read more →
application directorychatgpthypothetical questionslangchainllmNeo4jparent document retrieverragrag retrievalrag templaterelevant informationretrieval augmented generationvector similarity search
JSON-based Agents With Ollama & LangChain
Feb 28 8 mins read
Learn to implement a Mixtral agent with Ollama and Langchain that interacts with a Neo4j graph database through a semantic layer. Read more →
Neo4j x LangChain: Deep Dive Into the New Vector Index Implementation
Dec 18, 2023 7 mins read
The Neo4j Vector Index implementation in LangChain has many customizable options available. Learn how to do them for your RAG application. Read more →
Knowledge Graphs & LLMs: Real-Time Graph Analytics
Jul 12, 2023 9 mins read
By combining knowledge graphs and large language models (LLMs), you can understand data points through the context of their relationships. Read more →
Knowledge Graphs & LLMs: Fine-Tuning vs. Retrieval-Augmented Generation
Jun 06, 2023 11 mins read
Discover the limitations of Large Language Models (LLMs), and how to overcome them through fine-tuning vs. retrieval-augmented generation. Read more →
chatbotschatgptfine tuninggraphknowledge-graphllmmachine-learningNeo4jretrieval augmented generation
Generating Cypher Queries With ChatGPT 4 on Any Graph Schema
May 02, 2023 12 mins read
Learn how to implement a Cypher statement-generating model in ChatGPT 4 by providing only the graph schema information. Read more →
Context-Aware Knowledge Graph Chatbot With GPT-4 and Neo4j
Apr 11, 2023 16 mins read
Learn how to implement a context-aware chatbot in GPT-4 that bases its answers on the information retrieved from a graph database. Read more →
AIartificial intelligencechatbotchatgptgpt-4graph-databaseknowledge-graphmachine-learningNeo4jNeoGPTnlpopenai
Creating a Knowledge Graph From Video Transcripts With ChatGPT 4
Apr 03, 2023 12 mins read
Learn how to use ChatGPT 4 as a domain expert to help you extract knowledge and turn it into a graph from a video transcript. Read more →
Maximising Efficiency: The Power of ChatGPT and Neo4j for Creating and Importing Sample Datasets
Feb 06, 2023 5 mins read
See how David imports AI-generated sample datasets from ChatGPT into the graph data model in Neo4j Graph Database. Read more →
Create Neo4j Database Model With ChatGPT
Jan 17, 2023 4 mins read
Proper modeling of a graph database may be challenging. Because it requires a little bit of a different approach than relational database, we need to take into consideration what types of questions we want to answer.Luckily, nowadays we can use tools… Read more →
Week 38 – Exploring ChatGPT for Learning, Code, Data, NLP & Fun
Dec 06, 2022 8 mins read
ChatGPT was launched by open.ai and Michael has explored different areas of its application and tried applying it to learning graph databases. Read more →
