Tutorials

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Automating Customer Support Analytics: Zendesk + Airbyte + OpenAI Integration

Customer Ticket Volume Analytics Stack With Zendesk Support, Airbyte, Dbt, Dagster and BigQuery

Deploy a Self-service Business Intelligence Project With Whaly & Airbyte

End-to-end RAG using Facebook Marketing, PyAirbyte, Milvus (Zilliz), and Langchain

End-to-end RAG using Github, PyAirbyte and Weaviate

End-to-end RAG using Milvus Lite and PyAirbyte - fully in Python

Extract crypto data to Snowflake using PyAirbyte

How to Build a Single Customer View in 3 Quick Steps

Perform RAG with Vectara

Scraping web data from Apify source into Airbyte for Langchain

Sentiment analysis using Google sheets and Snowflake Cortex

Storing GitHub vector data into Snowflake Cortex using PyAirbyte

Streamlining Amazon Product Review Analysis with Apify and Snowflake Cortex

Use Milvus and Airbyte for Similarity Search on All Your Data

Visualize the time spent by your team in Zoom calls

Building ETL Pipeline with Python, Docker, & Airbyte

Learn how to build robust ETL pipelines using Python, Docker, and Airbyte. A guide for data engineers covering setup, implementation, & best practices.

Creating Data Pipeline with dbt & DuckDB Using Airbyte

Learn to build efficient data pipelines using Airbyte, dbt, and DuckDB. A comprehensive guide for data engineers with practical implementation steps.

How to Create an LLM Application with ChromaDB & Airbyte

Learn how to build a robust Large Language Model application using ChromaDB for vector storage and Airbyte for data integration, simplifying your AI development workflow.

Building a Knowledge Management System with PyAirbyte and Vector Databases

Discover how to build efficient knowledge management systems using PyAirbyte and vector databases for streamlined data access.

Financial Market Monitoring with Airbyte and Polygon.io Integration

Discover financial market monitoring using Airbyte and Polygon.io integration. Streamline data for actionable insights

Creating a GitHub Documentation Chatbot Using PyAirbyte and pgvector

Learn how to build a GitHub documentation chatbot with PyAirbyte and PG Vector for seamless data retrieval and enhanced user experience.

Healthcare Data Integration: FHIR API Connector with Airbyte's AI Assistant

Streamline healthcare data integration with Airbyte's AI Assistant and FHIR API connector. Simplify workflows and improve insights.

Building a Social Media Sentiment Analyzer Using Airbyte and Twitter API

Build a social media sentiment analyzer using Airbyte and Twitter API. Simplify data integration and analyze trends effectively.

Full-Stack Task Prioritization Chatbot: AI-Powered Search in Seconds

Build a quick full-stack AI application which arranges your Asana tasks for you in order of priority using MIlvus, Airbyte Cloud, and Next.js.

A Beginner's Guide to Qdrant: Installation, Setup, and Basic Operations

Learn how to install and set up Qdrant, a powerful vector database for AI applications. This beginner's guide walks you through basic operations to manage and query embeddings.

Extract insights from Shopify using PyAirbyte

Learn how to use PyAirbyte to extract product-related data from Shopify, followed by a series of transformations and analyses to derive meaningful insights from this data.

Build an AI chatbot with Snowflake Cortex

Lean how to use data stored in Airbyte's Snowflake Cortex destination to perform RAG by building a Product Assistant—an AI chatbot capable of answering product-related questions using data from multiple Airbyte-related sources.

Customer Segmentation Analytics Stack With Shopify, Airbyte, dbt, Dagster and BigQuery

Learn how to easily set up a data stack using Shopify, Airbyte, dbt, BigQuery, and Dagster. Pull Shopify data, put it into BigQuery, and play around with it using dbt and Dagster.

Database snapshot to S3 then to warehouse

Build a full data stack that creates a table snapshot from a database and stores it in an Amazon S3 bucket as a JSONL file using Airbyte and then loads the snapshot file to a preferred data warehouse.

ELT simplified Stack With Github, Airbyte, dbt, Prefect and BigQuery

Build an "ELT simplified Stack" repository to pull Github data, put it into BigQuery, and play around with it using dbt and Prefect.