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Please let me know if you see any possible areas of improvement. I would very much appreciate your constructive criticism if time allows. **Description:** - Added a aerospike vector store integration that utilizes [Aerospike-Vector-Search](https://aerospike.com/products/vector-database-search-llm/) add-on. - Added both unit tests and integration tests - Added a docker compose file for spinning up a test environment - Added a notebook **Dependencies:** any dependencies required for this change - aerospike-vector-search **Twitter handle:** - No twitter, you can use my GitHub handle or LinkedIn if you'd like Thanks! --------- Co-authored-by: Jesse Schumacher <jschumacher@aerospike.com> Co-authored-by: Bagatur <baskaryan@gmail.com> |
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.. | ||
redis | ||
__init__.py | ||
test_aerospike.py | ||
test_azure_search.py | ||
test_databricks_vector_search.py | ||
test_elasticsearch.py | ||
test_faiss.py | ||
test_hanavector.py | ||
test_imports.py | ||
test_indexing_docs.py | ||
test_inmemory.py | ||
test_neo4j.py | ||
test_pgvector.py | ||
test_public_api.py | ||
test_sklearn.py | ||
test_tencentvectordb.py | ||
test_utils.py |