In this video, we are joined by Harrison Chase, founder of LangChain. LangChain is a popular open source library focused on making it easier to build AI features and applications, specifically focused on integrating GPT and other language models.
We walk through the most requested tutorial – how to do question and answering over documents! We hope this gives you a great starting point for your next project.
If you like this video, check out our free newsletter sent 2x per week with practical advice and use cases on how to use AI in your work, products and life: https://theaiexchange.beehiiv.com/
Colab Notebook for Q&A over Docs: https://colab.research.google.com/drive/1-BI7NBxO6O-fYwjDoTUKrC3lmrWu0I0R?usp=sharing
Related Links:
– Document Loaders: https://langchain.readthedocs.io/en/latest/modules/document_loaders.html
– TextSplitters: https://langchain.readthedocs.io/en/latest/modules/utils/combine_docs_examples/textsplitter.html
– Embeddings: https://langchain.readthedocs.io/en/latest/modules/utils/combine_docs_examples/embeddings.html
– VectorStores: https://langchain.readthedocs.io/en/latest/modules/utils/combine_docs_examples/vectorstores.html
– QA Chain: https://langchain.readthedocs.io/en/latest/use_cases/question_answering.html
