Templates (#12294)

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Lance Martin <lance@langchain.dev>
Co-authored-by: Jacob Lee <jacoblee93@gmail.com>

templates/extraction-openai-functions/README.md

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+# Extraction with OpenAI Function Calling
+
+This template shows how to do extraction of structured data from unstructured data, using OpenAI [function calling](https://python.langchain.com/docs/modules/chains/how_to/openai_functions).
+
+Specify the information you want to extract in `chain.py`
+
+By default, it will extract the title and author of papers.
+
+##  LLM
+
+This template will use `OpenAI` by default. 
+
+Be sure that `OPENAI_API_KEY` is set in your environment.
+
+## Adding the template
+
+Install the langchain package
+```
+pip install -e packages/extraction_openai_functions
+```
+
+Edit app/server.py to add that package to the routes
+```
+from fastapi import FastAPI
+from langserve import add_routes 
+from extraction_openai_functions.chain import chain
+
+app = FastAPI()
+add_routes(app, chain)
+```
+
+Run the app
+```
+python app/server.py
+```
+
+You can use this template in the Playground:
+
+http://127.0.0.1:8000/extraction-openai-functions/playground/
+
+Also, see Jupyter notebook `openai_functions` for various other ways to connect to the template.