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Yt-semantic-search Alternatives
Similar projects and alternatives to yt-semantic-search based on common topics and language
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generate-subtitles
Generate transcripts for audio and video content with a user friendly UI, powered by Open AI's Whisper with automatic translations and download videos automatically with yt-dlp integration
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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semantic-search-nextjs-pinecone-langchain-chatgpt
Embeds text files into vectors, stores them on Pinecone, and enables semantic search using GPT3 and Langchain in a Next.js UI
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client-vector-search
A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
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youtube-summarized-browser-extension
Discontinued YouTube Summarized - Browser extension for summarizing YouTube videos using GPT3 🎥
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doc-chatbot
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better yt-semantic-search alternative or higher similarity.
yt-semantic-search reviews and mentions
Posts with mentions or reviews of yt-semantic-search.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-09.
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Dev LLM stack, production LLM stack, example projects, & things you'll discover
The dev LLM stack
- OpenAI + Pinecone + GPT-Index or Langchain
- Perhaps also dust.tt for playing around with prompts, kinda like a more advanced gpt playground --
The production LLM stack
- The dev stack
- OpenAI + Pinecone + GPT-Index or Langchain
- arXiv for finding new research to build on
- Prompt platforms such as Humanloop
- ML frameworks such as PyTorch, Keras, Tensorflow
- MLOps tools such as MLflow, Kubeflow, Metaflow, Airflow, Seldon Core, TFServing
Example OpenAI Projects
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What OpenAI/MSFT should do
- Fund "AI white mirror" -- a tv show that has beautiful visions a future where intelligence costs ~0
Things you'll probably discover
- Embeddings work ok, but not great, from a user perspective. As a developer they're great to work with. As a user, the results aren't ranked quite right. Embeddings use cases will be better with GPT-4 or GPT-4.5.
- All of the obvious gpt apps will be built. We'll get hundreds of basic gpt wrapper apps (and some of them will be big businesses!), hundreds of basic embeddings search apps. If someone can think of the idea and make it without needing specific relationships, credibility, or experience, then it'll probably exist by Summer 2023.
- The developer energy in this space is intense. Adults are going to hackathons to build ai apps. This is awesome.
- Devs using gpt will soon be a large enough market that startups will exist and succeed just by selling to developers that are using gpt-3 in production. We already saw it a little bit, but we'll get many more startups here.
- How could AI not be better than me at all computer based things within 10 years?
- AI is kinda like a kid. When they're young, they're not that smart. Then all of a sudden, they've gotten enough training data, and their brain (compute!) has grown, and they're doing useful stuff. This is related to why people will say that building models can feel frustrating because it doesn't work well for ages and then all of a sudden it works (CEO of Oasis said this, CTO of OpenAI said this, and Instagram co-founder said this).
Would love input and feedback on this. I have similar things that I'm going to submit, covering what builders and engineers should do, what vector database to use, why no one else made ChatGPT before OpenAI, things holding ai powered apps back, and some other stuff like that. If you want a preview and are happy to give feedback, then email is in my profile.
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Show HN: Semantic Search for Any Video
Are you using whisper for transcription?
For https://github.com/transitive-bullshit/yt-semantic-search, I'm using YouTube's built-in transcriptions which definitely aren't as high quality, but they work well enough to power the semantic search.
- Show HN: OpenAI-powered semantic search for the All-In Podcast
- OpenAI-powered semantic search for the All-In Podcast
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A note from our sponsor - SaaSHub
www.saashub.com | 1 May 2024
Stats
Basic yt-semantic-search repo stats
6
508
3.2
about 1 year ago
transitive-bullshit/yt-semantic-search is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of yt-semantic-search is TypeScript.
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