Aug 13, 2023·edited Aug 13, 2023Liked by Damien Benveniste
Great post! I have just started following along but getting a "NameError: name 'partition_pdf' is not defined" at the pdf loader step: docs = loader.load()
Using default Google Colab notebook. After some online search, downgraded "unstructured" package to 0.7.12, but still get the error. Would be nice if you can update the post with the Python version/env details.
Excellent post !! Easy to follow along !! What is the python version you are using? I am getting error when trying to import langchain.experimental .. "ModuleNotFoundError: No module named 'langchain.experimental" . Have seen there are some python version dependency? I am using default colab version of 3.10.12.
Amazing, beautifully written and a great example. Looking forward to learn more about LLM's from you. Probably if you have some time could you write a how LLM works, best practices of prompt engineering to have a holistic view of the LLM's landscape.
Great post! I have just started following along but getting a "NameError: name 'partition_pdf' is not defined" at the pdf loader step: docs = loader.load()
Using default Google Colab notebook. After some online search, downgraded "unstructured" package to 0.7.12, but still get the error. Would be nice if you can update the post with the Python version/env details.
Excellent post !! Easy to follow along !! What is the python version you are using? I am getting error when trying to import langchain.experimental .. "ModuleNotFoundError: No module named 'langchain.experimental" . Have seen there are some python version dependency? I am using default colab version of 3.10.12.
Great content! I just managed to get the whole thing up and running and started wondering if we can use a chat model instead of llm as retrieval?
Amazing, beautifully written and a great example. Looking forward to learn more about LLM's from you. Probably if you have some time could you write a how LLM works, best practices of prompt engineering to have a holistic view of the LLM's landscape.
The tutorial uses PineCone as vector database. What if I wanted to use a different vector db? Pinecone at $70 per month is a tad pricey! Any ideas?
Nicely written! Please note the code where you are setting up "docs_db" does not work.
doc_db = Pinecone.from_documents(
docs_split,
embeddings,
index_name='langchain-demo'
)