SUMMARY.md

Table of contents

• Home
• Overview
• Getting Started
  • Sign up
  • Select a plan
  • Database Credentials
  • Connect to the Database
• Machine Learning
  • Natural Language Processing
    • Embeddings
    • Fill Mask
    • Question Answering
    • Summarization
    • Text Classification
    • Text Generation
    • Text-to-Text Generation
    • Token Classification
    • Translation
    • Zero-shot Classification
  • Supervised Learning
    • Data Pre-processing
    • Regression
    • Classification
    • Hyperparameter Search
    • Joint Optimization
  • Unsupervised Learning
• Vector Database
• SDKs
  • Overview
  • Getting Started
  • Collections
  • Pipelines
  • Search
  • Tutorials
    • Semantic Search
    • Semantic Search using Instructor model
    • Extractive Question Answering
    • Summarizing Question Answering
• Apps
  • Chatbots
  • Fraud Detection
  • Recommendation Engine
  • Search
  • Time-series Forecasting
• Use cases
  • Improve Search Results with Machine Learning
  • Generating LLM embeddings with open source models in PostgresML
  • Tuning vector recall while generating query embeddings in the database
  • Personalize embedding results with application data in your database
  • LLM based pipelines with PostgresML and dbt (data build tool)
• PgCat
• Benchmarks
  • PostgresML is 8-40x faster than Python HTTP microservices
  • Million Requests per Second
  • MindsDB vs PostgresML
  • GGML Quantized LLM support for Huggingface Transformers
  • Making Postgres 30 Percent Faster in Production
• Monitoring
• FAQs
• Developer Docs
  • Quick Start with Docker
  • Installation
  • Contributing
  • Distributed Training
  • GPU Support