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• pgml-dashboard
  • content
    • README.md
    • blog
      • architecture.md
      • backwards-compatible-or-bust-python-inside-rust-inside-postgres.md
      • benchmarks
        • embedding.py
        • embedding.sql
        • embedding_numpy.py
        • python_microservices_vs_postgresml
          • README.md
          • ab.txt
          • load_redis.py
          • pgbench.sql
          • pgbouncer.ini
          • predict.py
          • requirements.txt
          • train.py
          • userlist.txt
        • rust_print_embedding
          • Cargo.lock
          • Cargo.toml
          • src
            • lib.rs
      • data-is-living-and-relational.md
      • generating-llm-embeddings-with-open-source-models-in-postgresml.md
      • introducing-postgresml-python-sdk-build-end-to-end-vector-search-applications-without-openai-and-pinecone.md
      • mindsdb-vs-postgresml.md
      • optimizing-semantic-search-results-with-an-xgboost-ranking-model.md
      • oxidizing-machine-learning.md
      • personalize-embedding-vector-search-results-with-huggingface-and-pgvector.md
      • pg-stat-sysinfo-a-pg-extension.md
      • postgres-full-text-search-is-awesome.md
      • postgresml-as-a-memory-backend-to-auto-gpt.md
      • postgresml-is-8x-faster-than-python-http-microservices.md
      • postgresml-is-moving-to-rust-for-our-2.0-release.md
      • postgresml-raises-4.7M-to-launch-serverless-ai-application-databases-based-on-postgres.md
      • scaling-postgresml-to-one-million-requests-per-second.md
      • style_guide.md
      • tuning-vector-recall-while-generating-query-embeddings-in-the-database.md
      • which-database-that-is-the-question.md
    • docs
      • README.md
      • about
        • faq.md
        • license.md
        • motivation.md
        • roadmap.md
        • team.md
      • guides
        • dashboard
          • overview.md
        • predictions
          • batch.md
          • deployments.md
          • overview.md
        • schema
          • deployments.md
          • models.md
          • projects.md
          • snapshots.md
        • setup
          • developers.md
          • distributed_training.md
          • gpu_support.md
          • installation.md
          • quick_start_with_docker.md
          • v2
            • installation.md
            • upgrade-from-v1.md
        • training
          • algorithm_selection.md
          • hyperparameter_search.md
          • joint_optimization.md
          • overview.md
          • preprocessing.md
        • transformers
          • embeddings.md
          • fine_tuning.md
          • pre_trained_models.md
          • setup.md
        • vector_operations
          • overview.md
  • src
    • api
      • docs.rs
    • utils
      • config.rs