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From [pgvector/pgvector](https://github.com/pgvector/pgvector) README > With approximate indexes, filtering is applied after the index is scanned. If a condition matches 10% of rows, with HNSW and the default hnsw.ef_search of 40, only 4 rows will match on average. For more rows, increase hnsw.ef_search. > > Starting with 0.8.0, you can enable [iterative index scans](https://github.com/pgvector/pgvector#iterative-index-scans), which will automatically scan more of the index when needed. Since we are stuck on 0.7.0 we are going the first option for now.
Discourse AI Plugin
Plugin Summary
For more information, please see: https://meta.discourse.org/t/discourse-ai/259214?u=falco
Evals
The directory evals contains AI evals for the Discourse AI plugin.
To run them use:
cd evals ./run --help
Usage: evals/run [options]
-e, --eval NAME Name of the evaluation to run
--list-models List models
-m, --model NAME Model to evaluate (will eval all models if not specified)
-l, --list List evals
To run evals you will need to configure API keys in your environment:
OPENAI_API_KEY=your_openai_api_key ANTHROPIC_API_KEY=your_anthropic_api_key GEMINI_API_KEY=your_gemini_api_key