![]() The max_parallel_workers_per_gather PostgreSQL parameter defines how many background workers the database may launch for every Gather and Gather Merge plan node. In the output of your explain plan, look for Workers Planned and Workers Launched (latter only when ANALYZE keyword was used). You should consider using inner product ( ) for best performance. If your vectors are normalized to length 1, like OpenAI embeddings. If I use partitioning, were not-needed partitions pruned?.Did I use the same condition in the WHERE clause as in a partial index definition?.Some questions that you should try to answer are: ![]() Third party sites, like can be helpful in understanding query plans. EXPLAIN (VERBOSE, BUFFERS) SELECT * FROM t_test ORDER BY embedding '' LIMIT 5 The result contains fewer details but is provided instantly. EXPLAIN (ANALYZE, VERBOSE, BUFFERS) SELECT * FROM t_test ORDER BY embedding '' LIMIT 5 įor queries that take too long to execute, consider dropping the ANALYZE keyword. If your query terminates reasonably fast, run EXPLAIN (ANALYZE,VERBOSE, BUFFERS). You should always start by investigating the query plan. You may also want to refer to the official README of the project. This article explores the limitations and tradeoffs of pgvector and shows how to use partitioning, indexing and search settings to improve performance.įor more on the extension itself, see basics of pgvector. The pgvector extension adds an open-source vector similarity search to PostgreSQL. Azure Cosmos DB for PostgreSQL (powered by the Citus database
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