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Python: Adds sample documentation for two separate Neo4j context providers for retrieval and memory (#4010)
* Python: Adds sample documentation for two separate Neo4j context providers for retrieval and memory * adding pypi links * adding dotnot examples * adding dotnot examples * merge upstream samples * fixing docs * fix relative paths --------- Co-authored-by: Ben Lackey <ben.lackey@neo4j.com>
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# Neo4j Memory Context Provider
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[Neo4j Agent Memory](https://github.com/neo4j-labs/agent-memory) is a graph-native memory system for AI agents that stores conversations, builds knowledge graphs from interactions, and lets agents learn from their own reasoning — all backed by Neo4j.
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For full documentation, installation instructions, code examples, and configuration details, see the [Neo4j Memory integration guide on Microsoft Learn](https://learn.microsoft.com/agent-framework/integrations/neo4j-memory).
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For a runnable example, see the [retail assistant sample](https://github.com/neo4j-labs/agent-memory/tree/main/examples/microsoft_agent_retail_assistant).
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For help choosing between the Memory and GraphRAG providers, see the [Neo4j Context Providers overview](../neo4j/README.md).
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