Pinecone w/ LangChain Document Loaders

1 .docx directory loader and splitter

1. Create /docxs directory then place all .docx files inside
2. Run app and all /docxs files within the directory will be loaded into your vector store
3. Use helper function to delet db
4. Use Chat functions to test
5. Trace using LangServe

Directory Structure

├── pinecone-langchain-docx-dataloader.ipynb
├── docxs
│   ├── client_file_01.docx
│   ├── client_file_02.docx
│   ├── client_file_03.docx

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2 .pdf directory loader and splitter

1. Create /pdfs directory then place all .docx files inside
2. Run app and all .pdf files within the directory will be loaded into your vector store
3. Use helper function to delet db
4. Use Chat functions to test
5. Trace using LangServe

Directory Structure

├── pinecone-langchain-pdf-dataloader.ipynb
├── pdfs
│   ├── client_file_01.pdf
│   ├── client_file_02.pdf
│   ├── client_file_03.pdf

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3 .csv directory loader and splitter

1. Create /csvs directory then place all .docx files inside
2. Run app and all .csv files within the directory will be loaded into your vector store
3. Use helper function to delet db
4. Use Chat functions to test
5. Trace using LangServe

Directory Structure

├── pinecone-langchain-csv-dataloader.ipynb
├── pdfs
│   ├── client_file_01.csv
│   ├── client_file_02.csv
│   ├── client_file_03.csv