Fill your skill gaps in AI and Data Science

External Tag: neo4j

GraphRAG in Action: From Commercial Contracts to a Dynamic Q&A Agent

External Tags graphrag, hands-on-tutorials, neo4j, openai, semantic-kernel

AI and Graph Databases: Enhancing Data Retrieval

External Tags ai, artificial-intelligence, bloagathon, blockchain, complex, data-analysis, Database, databases, Datasets, graph, language models, Models, neo4j, python, SQL, unstructured data, vector

Evaluating LLMs in Cypher Statement Generation

External Tags chatgpt, GPT, graph, LLM, neo4j

Enhancing Interaction between Language Models and Graph Databases via a Semantic Layer

External Tags chatgpt, graph, langchain, LLM, neo4j

Revolutionizing Image Retrieval: Harnessing Neo4j and Embeddings for Speed and Precision

External Tags blogathon, cosine similarity, Database, graph, Guide, Healthcare, Image, Image Analysis, images, Intermediate, neo4j, query

Efficient semantic search over unstructured text in Neo4j

External Tags chatgpt, langchain, LLM, neo4j, vector

HashGNN: Deep-dive into Neo4j GDS’s new node embedding algorithm

External Tags algorithms, data-science, graph-data-science, machine-learning, neo4j

Neo4j’s Role in Fueling Generative AI with Graph Technology

External Tags Endless Origins, generative-ai, graph database, LLM, neo4j

Integrate LLM workflows with Knowledge Graph using Neo4j and APOC

External Tags chatgpt, LLM, neo4j, openai