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This is awesome sir.
ОтветитьWatched your speech at GDG! You sparked my interest, gonna try Flutter today!
ОтветитьHey @TemiCodes!
LangChain.dart maintainer here.
Thank you very much for the detailed tutorial. It is actually the first video I know talking about LangChain.dart, so very happy to see that.
I've taken the liberty to send you a PR (tayormi/ask_pdf/pull/2) that refactors a bit the usage of LangChain.dart, specifically:
- Upgrades LangChain.dart dependencies to the latest version (which resolves the breaking change in the underlying pinecone package). You shoudn't need to use your fork nor override dependencies anymore (sorry about that).
- Uses Pinecone.addDocuments method to update the index which embeds the documents and stores them in the vector store under the hood.
- Uses RetrievalQAChain to embed the query, find similar documents and generate the answer.
You can see how you can achieve the same results with only a couple of lines of code.
If anyone has questions or suggestions about LangChain.dart, please feel free to open an issue in the repository or join our Discord server.
Cheers.
Amazing! Will try out to implement this feature in my existing app that I have built for my organization, so the staff can ask questions pertaining to official documents right from the app. Just worried about the cost though!
Really appreciate your work and the contents in this channel. Thanks!
Thanks for uploading this . I recently did an AI Object tracker with tensorflow lite and I’m glad there’s other dimensions to AI .
ОтветитьLooking forward to trying this out this weekend! Thank you for uploading this 🚀
ОтветитьNice one
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