Seeking Advice: Extracting Text from Keynote and MP4 Files for RAG Implementation

Hello, everyone!

I’m currently working on building a Retrieval-Augmented Generation (RAG) system, where the goal is to extract text from various document types (including PDFs, Excel files, HTML pages, text documents, Docs, PPTs, and notably, Keynote presentations and MP4 video files). I plan to convert this extracted text into embeddings and store them in a vector database for efficient retrieval.

For most document types, I’ve found robust Python libraries that serve the purpose well. For instance, libraries like PyMuPDF for PDFs and pandas for Excel files have been quite helpful. However, I’m encountering challenges with extracting data from Keynote files and MP4 files. Specifically:

Keynote Files I’m looking for a reliable method or library that can help me extract textual content from Keynote presentations. Given the proprietary nature of the Keynote format, I’m not sure of the best approach to access and process these files programmatically.

  • MP4 Files: My objective here is to extract spoken text from video files. I’m aware of the general approach involving speech-to-text technologies but am seeking recommendations for specific libraries or APIs that can efficiently process MP4 files to extract accurate transcriptions.

The extracted text from these various sources will be crucial in building a comprehensive dataset for my RAG system, aimed at improving the relevance and accuracy of generated content based on a query.

If anyone has experience or suggestions on extracting text from Keynote and MP4 files, or if you have worked on similar RAG systems and can offer insights, I would greatly appreciate your advice. Additionally, any tips on processing these files at scale or integrating them into a vector database would be incredibly helpful.

Thank you in advance for your help and suggestions!

Hi! Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem. Organization of words and lines, as well as the rhyme and meter of a poem.

mp4 is a container that internally has audio and video streams that can be demuxed. You can have a clever AI write you a script. Or a clever human can find his links…

You will then want to re-encode the audio with a library that supports most anything like ffmpeg, because there can be bloated multichannel files in a codec that still would be unsupported by the API.

I don’t know what “Keynote files” are, so discover it is Apple presentation software. I would focus on one of these, like HTML, then process with a tag stripper. " Exports to: PDF, QuickTime, JPEG, TIFF, PNG, HTML (with JPEG images) and PowerPoint. Keynote also uses .key (presentation files) and .kth (theme files) bundles based on XML."

I’m going to owe it, I can’t give you a guess or an idea, that’s not my area of expertise