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참고/neo4j-graphrag-python-main/examples/customize/retrievers/external/pinecone/README.md

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+### Usage Instructions
+
+You will need both a Pinecone vector database and a Neo4j database to use this retriever.
+
+### Writing Test Data
+
+Update  `NEO4J_AUTH`, `NEO4J_URL`, and `PC_API_KEY` variables in the `tests/e2e/pinecone_e2e/populate_dbs.py` script then run this from the project root to write test data to both dbs.
+
+```
+uv run python -m tests/e2e/pinecone_e2e/populate_dbs.py
+```
+
+### Install Pinecone client
+
+You need to install the `pinecone-client` package to use this retriever.
+
+```bash
+pip install pinecone-client
+```
+
+### Search
+Update the `NEO4J_AUTH`, `NEO4J_URL`, and `PC_API_KEY` variables in each file then run one of the following from the project root to test the retriever.
+
+```
+# Search by vector
+uv run python -m examples.customize.retrievers.external.pinecone.vector_search
+
+# Search by text, with embeddings generated locally
+uv run python -m examples.customize.retrievers.external.pinecone.text_search
+```