Gengliang Wang bf5a3c6dec Support Databricks in SQLDatabase (#4702) ... 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">		2023-05-19 00:42:06 -07:00
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examples	Support Databricks in SQLDatabase (#4702)	2023-05-19 00:42:06 -07:00
generic	add embedding router (#4644)	2023-05-13 21:47:01 -07:00
index_examples	Update summarize.ipynb (#4529)	2023-05-16 18:14:00 -07:00
getting_started.ipynb	Update getting_started.md (#4482)	2023-05-17 21:32:25 -07:00
how_to_guides.rst	big docs refactor (#1978)	2023-03-26 19:49:46 -07:00