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harrison/guards
scad/api-chain
harrison/prompt-bugs
harrison/sql-agent
harrison/pinecone-try-except
harrison/callback-updates
harrison/map-rerank
harrison/combine-docs-parse
harrison/azure-rfc
harrison/sequential_chain_from_prompts
harrison/agent-refactor
harrison/agent_intermediate_steps
harrison/agent_multi_inputs
harrison/promot-mrkl
harrison/fix_logging_api
harrison/use_output_parser
harrison/track_intermediate_steps
harrison/sql_error
harrison/logging_to_file
harrison/output_parser
harrison/flexible_model_args
harrison/agent-improvements
harrison/router_docs
harrison/docs
samantha/add_llm_to_example
harrison/reorg_smart_chains
mako-templates
harrison/save_metadatas
harrison/router
harrison/custom_pipeline
harrison/chain_pipeline
harrison/prompts_docs
harrison/attempt_citing_in_prompt
harrison/load_prompt
harrison/prompts_take_2
harrison/ape
harrison/prompt_examples
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${ item.name }
Create tag ${ searchTerm }
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langchain/templates/extraction-openai-functions/README.md

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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>
11 months ago
# 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.
Clean-up template READMEs (#12403) Normalize, and update notebooks.
11 months ago
Be sure that `OPENAI_API_KEY` is set in your environment.