ErickWendel/neo4j-ai-experiments
Examples of my tutorial on how to use Neo4j for empowering AI RAG systems
Converts natural language queries to Cypher through local AI models (Ollama-based Gemma/DeepSeek), leveraging Neo4j's vector search and graph structure for semantic retrieval. Implements Retrieval-Augmented Generation (RAG) with response caching and includes database seeding for reproducible examples. Built on Node.js with Docker-containerized Neo4j, demonstrating practical integration patterns for knowledge graph querying without external API dependencies.
Stars
74
Forks
35
Language
JavaScript
License
MIT
Category
Last pushed
Jan 08, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/ErickWendel/neo4j-ai-experiments"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
lancedb/vectordb-recipes
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
nath1295/LLMFlex
A python package for developing AI applications with local LLMs.
Emirateyang/llm-agent
Java library to simplify the integration of LLMs
ISNE11/CheatSheet-LLM
Run local Large Language Models (LLMs) offline using Ollama – interact with textbooks and custom...
lisekarimi/lexo
🗯️LLM toolkit for RAG, tuning, agents, and more