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.
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