langchain/templates/llama2-functions

Extraction with LLaMA2 Function Calling

This template shows how to do extraction of structured data from unstructured data, using LLaMA2 fine-tuned for grammars and jsonschema.

Query transformations are one great application area for open source, private LLMs:

• The tasks are often narrow and well-defined (e.g., generatae multiple questions from a user input)
• They also are tasks that users may want to run locally (e.g., in a RAG workflow)

Specify the scehma you want to extract in chain.py

LLM

This template will use a Replicate hosted version of LLaMA2 that has support for grammars and jsonschema.

Based on the Replicate example, the JSON schema is supplied directly in the prompt.

Be sure that REPLICATE_API_TOKEN is set in your environment.