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

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Co-authored-by: Ben Lackey <ben.lackey@neo4j.com>
This commit is contained in:
Ryan Knight
2026-04-07 03:57:35 -06:00
committed by GitHub
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parent 746c7da216
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# Neo4j Memory Context Provider
[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.
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).
For a runnable example, see the [retail assistant sample](https://github.com/neo4j-labs/agent-memory/tree/main/examples/microsoft_agent_retail_assistant).
For help choosing between the Memory and GraphRAG providers, see the [Neo4j Context Providers overview](../neo4j/README.md).