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

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2026-05-12 19:40:31 +09:00
### 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
```