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Ryan Knight 090b88a956 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>

090b88a956 · 2026-04-07 09:57:35 +00:00

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README.md

Python: Adds sample documentation for two separate Neo4j context providers for retrieval and memory (#4010 )

2026-04-07 09:57:35 +00:00

README.md

Neo4j Memory Context Provider

Neo4j 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.

For a runnable example, see the retail assistant sample.

For help choosing between the Memory and GraphRAG providers, see the Neo4j Context Providers overview.