Market Trends
Graph Database Expansion
Neo4j
AI Synthesis & Market Narrative
Neo4j is expanding its technical utility, serving as a core component for ETL pipelines, specialized knowledge graphs in neuroscience, and advanced GraphRAG systems integrating vector search and multimodal retrieval. This indicates a market shift towards leveraging graph databases for complex data processing and AI-driven knowledge management.
Correlated Linguistic Patterns
["neo4j-etl-lib"
"mcp-neo4j-graphrag... vector search
fulltext search
search-augmented Cypher queries
write operations
and multimodal image retrieval"
"Empirical Neuroscience Knowledge Graph MCP Server"
"neo4j-viz"]
Curiosity Velocity (60 Days)
WIKIPEDIA API
Tracing the intersection of media narratives and actual public search interest. Dashed line is 7-day SMA.
Driving Media Context
neo4j-etl-lib 0.3.5
Building blocks for ETL pipelines.
mcp-neo4j-graphrag 0.4.1
A unified Neo4j MCP server for GraphRAG: vector search, fulltext search, search-augmented Cypher queries, write operations, and multimodal image retrieval
mcp-neo4j-biomechanisms 0.1.0
Empirical Neuroscience Knowledge Graph MCP Server — how conscious experience is expressed in biological substrate
What Is the PARK Stack?
Background: Stacks with four-letter acronyms According to Wikipedia, the LAMP stack was coined in 1998 by Michael Kunze to describe what had emerged as a pop...
neo4j-viz 1.3.0
A simple graph visualization tool
mcp-neo4j-kg-memory 2.1.1
Consciousness Substrate MCP Server — process/experience two-layer architecture with temporal navigation
neo4j-mcp-canary 0.1.6
Neo4j official MCP Server version 0.1.6 — packaged as a Python wheel
neo4j-agent-memory 0.0.5
A comprehensive memory system for AI agents using Neo4j
mcp-neo4j-kg-memory 2.0.7
Consciousness Substrate MCP Server — process/experience two-layer architecture with temporal navigation
mcp-neo4j-kg-memory 2.0.5
Consciousness Substrate MCP Server — process/experience two-layer architecture with temporal navigation