
MCP Community Connect | Bengaluru
MCP Community Connect is a full-day, in-person conference for developers, AI engineers, and platform teams building with the Model Context Protocol.
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Join us on November 12 for a virtual conference dedicated to Engineering Better Intelligence. We'll explore modern applications, multi-agent workflows, and context-rich systems.
Learn how a knowledge layer gives enterprise AI the context, memory, and reasoning it needs to go from pilot to production.

MCP Community Connect is a full-day, in-person conference for developers, AI engineers, and platform teams building with the Model Context Protocol.

Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.

Building AI that’s accurate, explainable, and grounded in your real enterprise data is harder than it looks. At The AI Conference 2026, we’ll showcase how Neo4j gives AI a knowledge layer: the connected context it needs to reason, connect facts,...

Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.

Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.

.NET developers building AI agents have felt this gap: Neo4j Agent Memory shipped for Python and TypeScript, but .NET was left bolting things together.

Build knowledge graphs from unstructured documents and structured data, enrich them with embeddings, and use Neo4j vector indexes to power similarity search. Through hands-on exercises, implement vector-based, vector-plus-Cypher, and text-to-Cypher retriever patterns, then assemble them into a working conversational agent...

Build knowledge graphs from unstructured documents and structured data, enrich them with embeddings, and use Neo4j vector indexes to power similarity search. Through hands-on exercises, implement vector-based, vector-plus-Cypher, and text-to-Cypher retriever patterns, then assemble them into a working conversational agent...

In this session, data scientists and engineers will build a functional GraphRAG pipeline within a live Azure environment. Moving beyond high-level theory, you will deploy Neo4j Aura and integrate it with Microsoft Foundry to implement a complete, end-to-end architecture for...