Explore popular use cases to empower your teams
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 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.
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.
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.
Illustrating the Usage of langchain _airbyte Package
The langchain-airbyte package integrates LangChain with Airbyte. It has a very powerful function AirbyteLoader which can be used to load data as document into langchain from any Airbyte source.
End-to-end RAG using S3, PyAirbyte, Pinecone, and Langchain
Learn how to build an end-to-end RAG pipeline, extracting data from an S3 bucket using PyAirbyte, storing it in a Pinecone vector store, and then use LangChain to perform RAG on the stored data.
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.
End-to-end RAG using Github, PyAirbyte and Weaviate
Learn how to load data from Github into Weaviate using PyAirbyte, then to use source-github and its stream 'issues'.
End-to-end RAG using Facebook Marketing, PyAirbyte, Milvus (Zilliz), and Langchain
Learn how to use PyAirbyte to load data from Facebook marketing, store the data in Milvus (Zilliz) vector store and perform a short RAG demo (using OpenAI/LangChain).
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.
End-to-end RAG using Google Drive, PyAirbyte, Pinecone, and LangChain
Learn how to build an end-to-end RAG pipeline, extracting data from Google Drive using PyAirbyte, storing it in Pinecone, and then using LangChain to perform RAG on the stored data.
