Neo4j GraphRAG

Neo4j GraphRAG is the official graph-powered Retrieval-Augmented Generation (RAG) framework from Neo4j, designed to build intelligent AI applications using knowledge graphs, vector search, and Large Language Models (LLMs). By combining graph relationships with semantic retrieval, Neo4j GraphRAG enables more accurate, explainable, and context-aware AI responses while reducing hallucinations and improving data relevance.

Features of Neo4j GraphRAG:

• Builds graph-powered RAG applications using Neo4j knowledge graphs and vector search.
• Enhances AI-generated responses with contextual relationships and connected data.
• Supports knowledge graph creation, semantic search, hybrid retrieval, and graph traversal.
• Integrates with popular LLM providers including Ollama, OpenAI, Anthropic, Google Gemini, Cohere, and Mistral AI.
• Provides Python APIs for ingestion, retrieval, embeddings, graph indexing, and AI workflows.
• Supports deployment across cloud, on-premises, and enterprise environments.
• Helps reduce hallucinations by grounding AI responses in structured graph data.
• Enables enterprise use cases such as document intelligence, research assistants, customer support, compliance, and knowledge management.

Neo4j GraphRAG Usage:

$ sudo su
$ cd /opt
$ cd neo4j-graphrag

# Activate virtual environment:
$ source venv/bin/activate

# Verify installation:
$ pip show neo4j-graphrag

# Verify package import:
$ python3 -c "import neo4j_graphrag; print('Neo4j GraphRAG Ready')"
$ python - <<'EOF'
import neo4j_graphrag
print("Neo4j GraphRAG Installed Successfully")
EOF 


# Verify Neo4j connectivity:
$ cypher-shell -a bolt://localhost:7687 -u neo4j -p YOUR_PASSWORD "RETURN 1;"

# Display package information:
$ pip list | grep neo4j-graphrag

# Test Neo4j GraphRAG environment:
$ python3 -c "from neo4j_graphrag.embeddings import SentenceTransformerEmbeddings; print('GraphRAG OK')"

# Restart neo4j :
$sudo systemctl restart neo4j

# Access neo4j On browser:
$ http://your-server-ip:7474

# Get Login Credentials:
$  cat /var/evernote/credentials.txt
$  sudo neo4j-admin dbms set-initial-password  

# Check Login Status:
$ cypher-shell -a bolt://localhost:7687 -u neo4j -p Admin@123456 "SHOW CURRENT USER;

# Check logs:
$ sudo journalctl -u neo4j -n 100 --no-pager

Disclaimer: Neo4j GraphRAG is provided under the applicable Neo4j licensing and usage terms. Users are responsible for configuring Neo4j databases, managing graph data, selecting LLM providers, securing credentials, maintaining infrastructure, and ensuring compliance with organizational, regulatory, data governance, privacy, and security requirements when developing AI-powered knowledge graph and Retrieval-Augmented Generation applications.