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Yasyf Mohamedali and I built Summ, an open-source tool that provides intelligent search and question-answering across large sets of transcripts. ⚡️ We turn your unstructured transcripts into queryable SQL and JSON! Try it out and read how we did it here:

54,646 Aufrufe • vor 3 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Markie Wagner
Markie Wagnervor 3 Jahren

To answer a query, we pick the best of three methods. The first two methods use LLMs to create and populate a "database" with relevant metrics to answer a question. The last method uses recursive summarization, summarizing sets of facts to eventually answer the query.

Profilbild von Markie Wagner
Markie Wagnervor 3 Jahren

Check out the repo here: And the docs here:

Profilbild von Social Tippers
Social Tippersvor 3 Jahren

@yasyf I'm extremely interested in this. Have a couple of creators of video channels with large archives which have immense knowledge trapped inside MP4 files, and that knowledge needs to be indexed and summarized and interacted with.

Profilbild von Grant Stenger (hiring)
Grant Stenger (hiring)vor 3 Jahren

@yasyf This is incredible!

Profilbild von Oh another alt
Oh another altvor 3 Jahren

@yasyf @_StevenFan

Profilbild von Greg Kogan
Greg Koganvor 3 Jahren

@yasyf Added to list of OP stack (OpenAI + Pinecone) projects:

Profilbild von Andreas Klinger 🦾
Andreas Klinger 🦾vor 3 Jahren

@yasyf This is amazing. Also super smart way to display the results and showing potential other queries at the same time

Profilbild von WFH
WFHvor 3 Jahren

@yasyf This may be even easier to develop using the integration with @gpt_index

Profilbild von TMS
TMSvor 3 Jahren

@yasyf Super cool!

Profilbild von Sudharshan
Sudharshanvor 3 Jahren

@yasyf This is incredible! Building out something similar for google docs and going to use this PS : Adding to my AI newsletter

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