LangChain-Neo4j Partner Package: Officially Supported GraphRAG
Dec 17 2 mins read
Integrate Neo4j knowledge graphs with LangChain for powerful GraphRAG applications that deliver deeper, more insightful answers. Read more →
GraphRAG in Action: From Commercial Contracts to a Dynamic Q&A Agent
Nov 25 24 mins read
Explore how GraphRAG can be used to streamline the process of ingesting commercial contract data and building a Q&A Agent. Read more →
New GraphAcademy Course: Building Knowledge Graphs With LLMs
Oct 10 2 mins read
Learn how to use GenAI, LLMs, and Python to convert unstructured data into graphs. Read more →
GraphRAG – The Card Game
Oct 01 7 mins read
Learn GraphRAG through a fun, hypothetical card game that demonstrates how graph enhances RAG applications, without diving into code or technical details. Read more →
Building a GraphRAG Agent With Neo4j and Milvus
Sep 27 7 mins read
Learn how to build a GraphRAG agent using Neo4j and Milvus, combining graph and vector search for enhanced retrieval, better context, and accurate answers. Read more →
Enhancing Hybrid Retrieval With Graph Traversal Using the GraphRAG Python Package
Sep 24 7 mins read
Enhance GraphRAG applications by combining hybrid search and graph traversal with Neo4j’s HybridCypherRetriever, improving retrieval for complex queries. Read more →
GraphRAG Field Guide: Navigating the World of Advanced RAG Patterns
Sep 16 11 mins read
Explore advanced GraphRAG retrieval patterns and how graph structures enhance RAG systems. Learn actionable strategies to implement and optimize GraphRAG. Read more →
Hybrid Retrieval for GraphRAG Applications Using the GraphRAG Python Package
Sep 05 7 mins read
Learn how to enhance GraphRAG applications with hybrid retrieval using the Neo4j GraphRAG Package for Python, combining vector and full-text search. Read more →
Create a Neo4j GraphRAG Workflow Using LangChain and LangGraph
Aug 16 12 mins read
Create a Neo4j GraphRAG workflow using LangChain and LangGraph, combining graph queries, vector search, and dynamic prompting for advanced RAG. Read more →
Integrating Microsoft GraphRAG into Neo4j
Aug 13 16 mins read
Integrate Microsoft's GraphRAG with Neo4j, using LangChain and LlamaIndex for advanced retrieval in just a few steps. Explore detailed code examples. Read more →
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 →
GraphRAG in (Almost) Pure Cypher
Jul 03 4 mins read
Learn how to build a GraphRAG application almost entirely in Cypher, using knowledge graphs and vector search in Neo4j. Read more →
Customizing Property Graph Index in LlamaIndex
Jun 24 10 mins read
Learn how to perform entity deduplication and custom retrieval methods using LlamaIndex to increase GraphRAG accuracy. Read more →
LLM Knowledge Graph Builder: From Zero to GraphRAG in Five Minutes
Jun 19 7 mins read
Extract and use knowledge graphs in your GenAI applications with the LLM Knowledge Graph Builder in just five minutes. Read more →
Get Started With GraphRAG: Neo4j’s Ecosystem Tools
Jun 19 6 mins read
The Neo4j GraphRAG Ecosystem Tools make it easy to develop GenAI applications grounded with knowledge graphs. Read more →
From Ancient Epic to Modern Marvel: Demystifying the Mahabharata Chatbot with GraphRAG (Part 3)
Jun 10 7 mins read
Learn how we build a context-rich chatbot to answer Mahabharata questions using knowledge graphs and retrieval-augmented generation (RAG). Read more →
Going Meta: Wrapping Up GraphRAG, Vectors, and Knowledge Graphs
May 14 3 mins read
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. Read more →
genaigraph-databasegraphragknowledge-graphllmNeo4jontologyragretrieval augmented generationsemantic searchsemanticsvectorvector search
