Knowledge Graph vs. Vector RAG: Benchmarking, Optimization Levers, and a Financial Analysis Example
Jun 05 20 mins read
Learn how graph and vector search systems can work together to improve retrieval-augmented generation (RAG) systems. 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
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 →
graphgraph-databaseknowledge-graphlangchainllmmetadatametadata filteringNeo4jopenairagretrieval augmented generationunstructured-datavector searchvector similarity search
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 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 →
An Extremely Simple but Effective Way to Improve Search Over Text Embeddings
Feb 19 8 mins read
Discover a simple but effective way to improve vector similarity search for RAG using OpenAI Embedding, AWS Bedrock, or Google VertexAI. Read more →
A GenAI-Powered Song Finder in Four Lines of Code
Feb 07 9 mins read
We will build a catalog of songs and lyrics with Neo4j, and use its built-in GenAI to find songs from a synopsis of what they are about. 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 →
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 →
GenAI Stack Walkthrough: Behind the Scenes With Neo4j, LangChain, and Ollama in Docker
Oct 05, 2023 8 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 →
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 →
