Adding Retrieval-Augmented Generation (RAG) to Your GraphQL API
Apr 28 8 mins read
How to add retrieval-augmented generation (RAG) to your @neo4j/graphql projects using LangChain.js, step-by-step. Read more →
Building RAG Applications With the Neo4j GenAI Stack: A Comprehensive Guide
Apr 25 9 mins read
A guide to building LLM applications with the Neo4j GenAI Stack on LangChain, from initializing the database to building RAG strategies. Read more →
genaigenai stackGraphCypherQAChainguideknowledge graph llmknowledge-graphlangchainllmNeo4jneo4j llmneo4j ragopenairagrageretrieval augmented generationvector index
The Future of Knowledge Graph: Will Structured and Semantic Search Become One?
Apr 25 11 mins read
What LLM & Graph May Bring to the Future of Knowledge GraphsNight light at Federation Square in Melbourne, photo by AuthorAbstractIn the last several decades, when people consider building a knowledge-related solution, they tend to look into two distinct directions based… Read more →
data-scienceknowledge graph llmknowledge-graphknowledge-managementllmNeo4jneo4j llmnode embeddingsearchsemantic searchstructured datavector index
Constructing Knowledge Graphs From Unstructured Text Using LLMs
Apr 19 5 mins read
In this blog post, we will explore extracting information from unstructured data to construct a knowledge graph. 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
Graph Data Models for RAG Applications
Apr 09 6 mins read
Learn when to use graph data models, like parent-child, question-based, and topic-summary, for RAG applications powered by knowledge graphs. Read more →
data-modelinggraph data modelknowledge graphsllmNeo4jparent childragretrieval augmented generationretrieval-augmented
Enhancing RAG with Neo4j Cypher and Vector Templates Using LangChain Agents
Apr 04 11 mins read
Combining Neo4j knowledge graphs, vector search, and Cypher LangChain templates using LangChain agents for enhanced information retrieval. Read more →
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 →
Introduction to Vector Indexes and Unstructured Data – New GraphAcademy Course
Mar 30 2 mins read
Learn how Neo4j can help you make sense of your unstructured data. Enroll in this new free course on GraphAcademy.There’s a new course on GraphAcademy: Introduction to Vector Indexes and Unstructured Data.This course teaches you to understand unstructured data using… 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 →
Generative Transformation from ER Diagram to Graph Model Using Google’s Gemini Pro
Mar 13 8 mins read
Learn how to use GenAI to transform an ER diagram into assets of a property graph model stored in Neo4j easily with Google's Gemini Pro. 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
Implementing RAG: How to Write a Graph Retrieval Query in LangChain
Mar 05 6 mins read
Learn how to write graph retrieval queries that supplement or ground the LLM’s answer for your RAG application, using Python and Langchain. Read more →
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 →
Using LangChain and Neo4j to Process YouTube Playlists and Perform Q&A Flow
Feb 19 8 mins read
In this tutorial, we’ll extract Youtube data, integrate it into Neo4j, and create an interactive, personalized LLM with LangChain. Read more →
Langchain v0.1 – Updating GraphAcademy Neo4j & LLM Courses
Feb 01 4 mins read
Check out the demonstration of using Langchain v0.1 to update Neo4j & LLM courses on the Neo4j GraphAcademy. Read more →
YouTube Transcripts Into Knowledge Graphs for RAG Applications
Jan 22 8 mins read
Learn how to scrape YouTube video transcripts into a knowledge graph for Retrieval Augmented Generation (RAG) applications. Read more →
Building A Graph & LLM-Powered RAG Application from PDF Documents
Jan 19 5 mins read
Learn how to use PDF documents to build a graph and LLM-powered retrieval augmented generation application. Read more →
Why Vector Search Didn’t Work for Your RAG Solution?
Jan 05 10 mins read
Exploring the Shortcomings of Text Embedding Retrieval for LLM GenerationLoch Awe in Scotland, photo by author.AbstractExternal knowledge is the key to resolving the problems of LLMs such as hallucination and outdated knowledge, which can make LLMs generate more accurate and reliable… 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 →
Analyzing Annual Reports Using LLMs and Graph Technology
Nov 06, 2023 8 mins read
Natural language processing made easy. Learn how to analyze annual reports using Large Language Models and knowledge graphs. Read more →
Enhanced QA Integrating Unstructured Knowledge Graph Using Neo4j and LangChain
Oct 22, 2023 8 mins read
Neo4j Vector Index and GraphCypherQAChain for optimizing the synthesis of information for informed response generation with Mistral-7b Read more →
Exploring the Intersection of Neo4j and Large Language Models
Sep 15, 2023 3 mins read
As the final blog post of the Project NaLLM blog series, we reflect on the positive aspects and challenges encountered during this project. Read more →
Building an Educational Chatbot for GraphAcademy With Neo4j
Aug 22, 2023 11 mins read
Learn how Adam built an educational chatbot for GraphAcademy with Neo4j using Large Language Models and vector search. Read more →
