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Add batching strategy for all vector store implementations #1261
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sobychacko
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Sep 3, 2024
Sub batch documents based on a BatchingStrategy when adding documents to PgVectorStore Related to spring-projects#1261
markpollack
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Sep 4, 2024
- Precompute all embeddings using a BatchingStrategy before inserting into the vector store This optimization improves efficiency when adding multiple documents Related to #1261
markpollack
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Sep 9, 2024
Apply batching when adding Documents to the following vector stores: - Chroma - ElasticSearch - Neo4j - Qdrant - Redis - Typesense - Weaviate This improves efficiency by processing multiple Documents at once instead of individually, reducing the overhead for each operation. Related to #1261
sobychacko
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Sep 9, 2024
Apply batching when adding Documents to the following vector stores: - Azure vectore store - Cassanra - MongoDB Atlas - OpenSearch - Oracle - Pinecone This improves efficiency by processing multiple Documents at once instead of individually, reducing the overhead for each operation. Related to spring-projects#1261
sobychacko
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Sep 9, 2024
Apply batching when adding Documents to the following vector stores: - Azure vector store - Cassandra - MongoDB Atlas - OpenSearch - Oracle - Pinecone This improves efficiency by processing multiple Documents at once instead of individually, reducing the overhead for each operation. Related to spring-projects#1261
markpollack
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Sep 17, 2024
Apply batching when adding Documents to the following vector stores: - Azure vector store - Cassandra - MongoDB Atlas - OpenSearch - Oracle - Pinecone This improves efficiency by processing multiple Documents at once instead of individually, reducing the overhead for each operation. Related to #1261
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See this for more details: #1214
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