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30dbf3256a
With Milvus as the vector database, all chunks of a file were sent to Milvus in one request. Large files exceeded Milvus's default 64 MB request size limit, so processing ran through the whole embedding step and then failed with the error RESOURCE_EXHAUSTED. With a 4096-dimension embedding model this already happened at about 4,000 chunks, which is a few MB of text. Chunks are now sent in batches of 128, with and without ENABLE_MILVUS_MULTITENANCY_MODE. Fixes #31989 |
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| .. | ||
| chroma.py | ||
| elasticsearch.py | ||
| mariadb_vector.py | ||
| milvus.py | ||
| milvus_multitenancy.py | ||
| opengauss.py | ||
| opensearch.py | ||
| oracle23ai.py | ||
| pgvector.py | ||
| pinecone.py | ||
| qdrant.py | ||
| qdrant_multitenancy.py | ||
| s3vector.py | ||
| valkey.py | ||
| weaviate.py | ||