RAG Chatbot system built on Langchain/Langgraph documentations using Databricks.
Langchain/Langgraph documentation data scraped with Apify
Original code from the following guides:
0.databricks_secrets.ipynb
Creates the secret scope and adds the PAT token.
1.csv_to_table.ipynb
Converts Langgraph/Langchain documentation CSV data to a table on Unity Catalog.
2.vector_idx.ipynb
Creates the vector search endpoint and the vector search index.
3.rag.ipynb
Creates the RAG chatbot.
config.py
Configuration file for the notebooks above.