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**** https://python.langchain.com/docs/integrations/providers/neo4j[LangChain Neo4j (Vendor Supported Package)^]
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**** xref:vector-search.adoc[Vector Index and Search]
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+ *** xref:model-context-protocol-mcp.adoc[Model Context Protocol]
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*** GraphRAG Ecosystem Tools
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- *** * xref:model-context-protocol-mcp.adoc[Model Context Protocol]
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**** https://neo4j.com/labs/genai-ecosystem/llm-graph-builder[LLM Graph Builder^]
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**** https://neo4j.com/labs/genai-ecosystem/neoconverse[NeoConverse^]
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**** https://neo4j.com/labs/genai-ecosystem/apoc-genai[APOC Extended for GenAI^]
Original file line number Diff line number Diff line change @@ -184,7 +184,7 @@ Tenant/Project Management
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* `get_tenant_details`
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image::https://dist.neo4j.com/wp-content/uploads/20250415082358/cursor-aura-mcp.png[width=400]
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- image::https://dist.neo4j.com/wp-content/uploads/20250415082130/mcp-neo4j-aura-create-instance.png[]
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+ image::https://dist.neo4j.com/wp-content/uploads/20250415082130/mcp-neo4j-aura-create-instance.png[width=400 ]
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== Google MCP Toolbox
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Individual parameterized queries can be defined as tools and made available to agent frameworks.
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Toolbox takes care of database connection management, authentication, result processing and error handling.
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- image::https://googleapis.github.io/genai-toolbox/getting-started/introduction/architecture.png[]
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+ image::https://googleapis.github.io/genai-toolbox/getting-started/introduction/architecture.png[width=400 ]
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Toolbox integrates as an MCP Server but also directly with LangChain and LlamaIndex.
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