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.
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.
End-to-end RAG using a file source, PyAirbyte, Pinecone, and Langchain
Learn how to build a RAG pipeline, extracting data from a file source using PyAirbyte, storing it in a Pinecone vector store, and then using LangChain to perform RAG on the stored data.
End-to-end RAG using Airbyte Cloud, S3, BigQuery and Pinecone
Learn how to build a full data stack using Airbyte Cloud, Terraform, and dbt to move data from S3 -> BigQuery -> Pinecone for interacting with fetched data through an LLM and form a full fledged RAG.
Storing GitHub vector data into Snowflake Cortex using PyAirbyte
Learn how to load data from GitHub airbyte-source into Snowflake using PyAirbyte, and afterwards convert the stream data into vector.
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!
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.
Using PyAirbyte as a data orchestrator for hosted Airbyte connections
Learn how to automate and monitor Airbyte Cloud sync jobs using PyAirbyte. It includes setting up job executions, handling dependencies, sending real-time status updates, and visually representing job details and outcomes on a timeline.
PyAirbyte Custom Snowflake Cache Demo
Learn how to use PyAirbyte to ingest cryptocurrency data from CoinAPI.io into Snowflake.
End-to-end RAG using Github, PyAirbyte and Chroma Vector DB
Learn how to set up a RAG pipeline from GitHub, using PyAirbyte, storing the data in Chroma, using LangChain to perform RAG on the stored data.
End-to-end RAG using Milvus Lite and PyAirbyte - fully in Python
Learn how to build a simple RAG (Retrieval-Augmented Generation) pipeline with Milvus Lite and PyAirbyte, for a fully local development in Python.
End-to-end RAG using Jira, PyAirbyte, Pinecone, and LangChain
Learn how to build a RAG pipeline, extracting data from Jira using PyAirbyte, storing it in a Pinecone vector store, and then using LangChain to perform RAG on the stored data.
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