Python: Adds sample documentation for two separate Neo4j context providers for retrieval and memory

[retroryan]

Summary

Adds sample documentation for two separate Neo4j context providers for retrieval and memory. These providers serve distinct roles in the agent architecture:

• Retrieval (neo4j_rag/) — Read-only RAG provider that queries pre-existing Neo4j knowledge bases with vector, fulltext, or hybrid search and optional graph traversal enrichment
• Memory (neo4j_memory/) — Read-write memory provider that stores conversations, extracts entities into a knowledge graph, and learns user preferences across sessions

Changes

• Added neo4j_rag/README.md — Retrieval provider: graph-enhanced RAG with vector, fulltext, and hybrid search
• Added neo4j_memory/README.md — Memory provider: persistent agent memory with knowledge graph building and memory tools

Links

• Retrieval Provider: https://github.com/neo4j-labs/neo4j-maf-provider
• Memory Provider: https://github.com/neo4j-labs/agent-memory

[Copilot]

Pull request overview

Adds sample documentation under the Python samples tree to explain two Neo4j-backed context providers—one intended for read-only retrieval (RAG) and one intended for read-write persistent memory—so users can understand setup, configuration, and usage at a glance.

Changes:

• Added a README for the Neo4j RAG (retrieval) context provider sample folder.
• Added a README for the Neo4j Memory (persistent memory) context provider sample folder.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 7 comments.

File	Description
python/samples/02-agents/context_providers/neo4j_rag/README.md	Documents intended Neo4j retrieval/RAG provider usage, configuration, and search modes.
python/samples/02-agents/context_providers/neo4j_memory/README.md	Documents intended Neo4j agent-memory provider usage, tools, and conceptual differences vs RAG.

[retroryan]

Thanks for the review feedback! Comments 1–7 have been addressed in the latest commits (tables fixed, ChatAgent → Agent API, missing imports added, etc.).

Regarding the request for runnable samples — the Python samples live in their respective project repos rather than being duplicated here:

Lab & code examples:

• MAF Context Providers Lab — hands-on lab
• GenAI MAF Context Providers — related code examples

Neo4j Memory:

• Microsoft Agent Retail Assistant example

Neo4j GraphRAG Provider:

• neo4j-maf-provider examples

We'll look into .NET samples separately.

[retroryan]

@westey-m - fixed the relative paths. Thanks for your patience!