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 →
GenAI Stack Walkthrough: Behind the Scenes With Neo4j, LangChain, and Ollama in Docker
Nov 13 14 mins read
Learn how to build a support agent that relies on information from Stack Overflow using the GenAI Stack – Neo4j, LangChain & Ollama in Docker. Read more →
The Limitations of Text Embeddings in RAG Applications
Sep 26 14 mins read
Learn how to overcome the challenges of structured data operations in text embeddings in RAG applications using knowledge graphs. 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 →
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 Neo4j Starter Kit
May 31 5 mins read
Introducing the Neo4j LangChain Starter Kit for Python developers, which generates GenAI answers backed by data stored in a Neo4j Graph Database. Read more →
Graph-based Metadata Filtering to Improve Vector Search in RAG Applications
Apr 28 11 mins read
Optimizing vector retrieval with advanced graph-based metadata filtering techniques using LangChain and Neo4j. Read more →
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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 →
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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 →
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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 →
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 →
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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 →
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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 →
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 →
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 →
LangChain Cypher Search: Tips & Tricks
Jun 02, 2023 9 mins read
Discover how to optimize prompts for Cypher statement generation to retrieve relevant information from Neo4j in your LLM applications. Read more →
