batmanscode
batmanscode
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They use the OpenAI API so that module can be copied adding `openai.api_base = "https://api.goose.ai/v1"` Is this something you're interested in adding? Happy do create a PR if so 🙂
I went through the docs and tried the following: ```python from gpt_index import SimpleDirectoryReader from gpt_index import GPTSimpleVectorIndex from langchain.embeddings.huggingface import HuggingFaceInstructEmbeddings from gpt_index import LangchainEmbedding embed_model = LangchainEmbedding(HuggingFaceInstructEmbeddings()) documents...
For contributors using codespaces/vscode, this will install everything they need and make it easier/quicker to set up
If at any point you're planning to do a big refactor/rewrite, I want to bring your attention to https://nbdev.fast.ai/ if you hadn't already considered it. https://github.com/fastai/fastai is a great example...
Here is an example: - I have created vector stores from several podcasts - `metadata = {"guest": guest_name}` - `question = "which guests have talked about ?"` Using `VectorDBQA`, this...
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For example, for a search task: to get the results from both bing, google and summarize them
An easier way to set up for new contributors using Codespaces or VSCode.
Things like `execution_count` and `id` create unnecessary diffs.  `nbdev_install_hooks` from nbdev should help with this. See here: https://nbdev.fast.ai/tutorials/tutorial.html#install-hooks-for-git-friendly-notebooks 