QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic
-
Updated
Jun 21, 2024 - Python
QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic
Notebooks with source code for self-study experiment with LLM chain and agent for information retrieval on Nebulous: Fleet Command datasets.
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.
Add a description, image, and links to the agent topic page so that developers can more easily learn about it.
To associate your repository with the agent topic, visit your repo's landing page and select "manage topics."