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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.
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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.
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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.
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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.
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Automating Customer Support Analytics: Zendesk + Airbyte + OpenAI Integration
Automate customer support analytics with Zendesk, Airbyte, and OpenAI integration. Unlock insights and enhance support efficiency.
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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.
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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.
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Financial Market Monitoring with Airbyte and Polygon.io Integration
Discover financial market monitoring using Airbyte and Polygon.io integration. Streamline data for actionable insights
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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).
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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.
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Optimizing error resolution with Sentry, dbt, Dagster and Snowflake
Configure an error analysis stack utilizing Sentry, Airbyte, Snowflake, dbt, and Dagster.
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Perform RAG with Vectara
Learn how to use data stored in Airbyte's Vectara destination to perform RAG.
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End-to-end RAG using Airbyte's Terraform, dbt, Notion, BigQuery and Pinecone
Learn how to build a full data stack using Airbyte Cloud, Terraform, and dbt to move data from Notion -> BigQuery -> Pinecone for interacting with fetched data through an LLM and form a full fledged RAG.
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End-to-end RAG using Salesforce, Airbyte Cloud and Weaviate
Learn how to build an end-to-end RAG pipeline, extracting data from Salesforce using Airbyte Cloud to load it on Weaviate and set up a RAG there.
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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.
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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.
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End-to-end RAG using Airbyte Cloud, S3 and Vectara
Learn how to build an end-to-end RAG pipeline, extracting data from S3 using Airbyte Cloud to load it on Vectara and set up a RAG there.
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End-to-end RAG with Airbyte Cloud, Microsoft Sharepoint, and Milvus (Zilliz)
Learn how to build an end-to-end RAG pipeline, extracting data from Microsoft Sharepoint using Airbyte Cloud, loading it on Milvus (Zilliz), and then using LangChain to perform RAG on the stored data.
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End-to-end RAG with Airbyte Cloud, Google Drive, and Snowflake Cortex
Learn how to build an end-to-end Retrieval-Augmented Generation (RAG) pipeline. We will extract data from Google Drive using Airbyte Cloud to load it on Snowflake Cortex.
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How to add custom source to PyAirbyte using the no-code builder
Learn how to add custom sources built from the Connector Builder to PyAirbyte, Airbyte's open-source Python library.
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