forked from Archives/langchain
bf5a3c6dec
This PR adds support for Databricks runtime and Databricks SQL by using [Databricks SQL Connector for Python](https://docs.databricks.com/dev-tools/python-sql-connector.html). As a cloud data platform, accessing Databricks requires a URL as follows `databricks://token:{api_token}@{hostname}?http_path={http_path}&catalog={catalog}&schema={schema}`. **The URL is **complicated** and it may take users a while to figure it out**. Since the fields `api_token`/`hostname`/`http_path` fields are known in the Databricks notebook, I am proposing a new method `from_databricks` to simplify the connection to Databricks. ## In Databricks Notebook After changes, Databricks users only need to specify the `catalog` and `schema` field when using langchain. <img width="881" alt="image" src="https://github.com/hwchase17/langchain/assets/1097932/984b4c57-4c2d-489d-b060-5f4918ef2f37"> ## In Jupyter Notebook The method can be used on the local setup as well: <img width="678" alt="image" src="https://github.com/hwchase17/langchain/assets/1097932/142e8805-a6ef-4919-b28e-9796ca31ef19"> |
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| .. | ||
| agents | ||
| callbacks | ||
| chains | ||
| indexes | ||
| memory | ||
| models | ||
| prompts | ||
| utils/examples | ||
| agents.rst | ||
| chains.rst | ||
| indexes.rst | ||
| memory.rst | ||
| models.rst | ||
| paul_graham_essay.txt | ||
| prompts.rst | ||
| state_of_the_union.txt | ||