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EvaDB 0.3.9
EvaDB 0.3.9

Overview

  • Getting Started
    • Installation Options
  • Concepts
  • AI Queries
  • Connect to Data Sources
  • Frequently Asked Questions
  • Roadmap

Use Cases

  • Forecasting
  • Classification
  • Sentiment Analysis
  • Question Answering
  • Text Summarization
  • Image Classification
  • Image Search
  • Object Detection
  • Emotion Analysis

User Reference

  • Query Language
    • LOAD CSV
    • LOAD IMAGE
    • LOAD VIDEO
    • LOAD PDF
    • SELECT
    • EXPLAIN
    • SHOW FUNCTIONS
    • SHOW CONFIG
    • SET CONFIG
    • CREATE DATABASE
    • CREATE FUNCTION
    • CREATE INDEX
    • CREATE TABLE
    • DROP DATABASE
    • DROP FUNCTION
    • DROP TABLE
    • INSERT INTO TABLE
    • DELETE
    • RENAME TABLE
    • USE
  • Python API
    • evadb.connect
    • evadb.EvaDBConnection.cursor
    • evadb.EvaDBCursor.query
    • evadb.EvaDBQuery.df
  • REST API
  • Data Sources
    • PostgreSQL
    • SQLite
    • MySQL
    • MariaDB
    • Clickhouse
    • Github
    • Snowflake
  • Vector Databases
    • Faiss
    • ChromaDB
    • Qdrant
    • pgvector
    • Pinecone
    • Milvus
  • AI Engines
    • Model Training with Ludwig
    • Model Training with Sklearn
    • Model Training with XGBoost
    • Time Series Forecasting
    • Hugging Face
    • OpenAI
    • YOLO
    • Stable Diffusion
  • Bring Your Own AI Function
  • Optimizations

Benchmarks

  • Text Summarization

Contribution Guide

  • Contributing to EvaDB
    • Setup Environment
    • Testing
    • Submit a PR
    • Code Style
    • Troubleshooting
    • Unit Testing UDFs in EvaDB
  • Debugging EvaDB
    • VSCode Debugger
    • Alternative Debugger
  • Extending EvaDB
    • Structured Data Source Integration
    • Operators
  • Releasing EvaDB
    • Setup PyPI Account
    • Release Guide
  • Architecture Diagram
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