Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Search your entire Slack history on a free plan
Learn how to bypass Slack's message history restriction and access all of your messages, even if you aren't on a paid Slack plan.
Check the tutorial >
Forecast purchase orders for your Shopify store with MindsDB
Use the integrated machine learning in MindsDB to forecast Shopify store metrics.
Check the tutorial >
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.
Check the tutorial >
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.
Check the tutorial >
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.
Check the tutorial >
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.
Check the tutorial >
Automating Customer Support Analytics: Zendesk + Airbyte + OpenAI Integration
Automate customer support analytics with Zendesk, Airbyte, and OpenAI integration. Unlock insights and enhance support efficiency.
Check the tutorial >
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.
Check the tutorial >
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.
Check the tutorial >
Financial Market Monitoring with Airbyte and Polygon.io Integration
Discover financial market monitoring using Airbyte and Polygon.io integration. Streamline data for actionable insights
Check the tutorial >
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.
Check the tutorial >
Full-Stack AI Task Prioritization Chatbot with Asana, Airbyte, Milvus, and Next.js
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.
Check the tutorial >
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.
Check the tutorial >
One-click Data Pipeline for Profitability in E-commerce
In a world where e-commerce business models are relatively uniform, lies a huge opportunity in analytics of building modular, reusable data transformation models. This tutorial is about open sourcing the full end to end pipeline around a critical use case for every e-commerce: profitability calculation!
Check the tutorial >
Sentiment analysis using Google sheets and Snowflake Cortex
Learn how to load user review data from Google Sheets intoS nowflake Cortex based vector store, and perform sentiment analysis using Snowflake Cortex's sentiment function.
Check the tutorial >
Extract crypto data to Snowflake using PyAirbyte
Learn how to use PyAirbyte to extract cryptocurrency data from CoinAPI.io, and load it to Snowflake, followed by a series of transformations and analyses to derive meaningful insights from this data.
Check the tutorial >
Extract insights from GitHub using PyAirbyte
Learn how to use PyAirbyte to extract data from Github, followed by a series of transformations and analyses to derive meaningful insights from this data. In particular, we demonstrate PyAirbyte capabilities for extracting data incrementally.
Check the tutorial >
Extract data from Postgres using PyAirbyte
Learn how to leverage PyAirbyte and use Postgres as a Cache, while running in a Google Colab only. It installs packages on the system and requires sudo access.
Check the tutorial >
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.
Check the tutorial >
Extract insights from Google Analytics 4 using PyAirbyte
Learn how to use PyAirbyte to extract data from Google Analytics 4, followed by a series of transformations and analyses to derive meaningful insights from this data.
Check the tutorial >
Extract crypto data from CoinAPI using PyAirbyte
Learn how to use PyAirbyte to extract cryptocurrency data from CoinAPI.io, followed by a series of transformations and analyses to derive meaningful insights from this data.
Check the tutorial >
End-to-end RAG using GitHub, PyAirbyte, and Langchain
Learn how to use the PyAirbyte library to read records from Github, converts those records to documents, which can then be passed to LangChain for RAG.
Check the tutorial >
Leverage PyAirbyte with this demo
This is a demo of how you can leverage PyAirbyte to load the source data and read it from PyAirbyte cache, read its progress, create graphs and more.
Check the tutorial >
Perform RAG with Vectara
Learn how to use data stored in Airbyte's Vectara destination to perform RAG.
Check the tutorial >
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.
Check the tutorial >
Low-Latency Data Availability Stack
Build a Low-Latency Data Availability solution that syncs data from an existing Postgres database to a BigQuery dataset using Airbyte, using Change Data Capture (CDC) and Postgres Write Ahead Log (WAL).
Check the tutorial >
Weather Data Stack with dbt, Dagster and BigQuery
Easily set up a data stack using Airbyte, dbt, BigQuery, and Dagster to pull weather data from WeatherStack API, put it into BigQuery, and play around with it using dbt and Dagster.
Check the tutorial >
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.
Check the tutorial >
Optimizing error resolution with Sentry, dbt, Dagster and Snowflake
Configure an error analysis stack utilizing Sentry, Airbyte, Snowflake, dbt, and Dagster.
Check the tutorial >
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.
Check the tutorial >
%201.svg){kind=small}