yt-semantic-search
codesearch
yt-semantic-search | codesearch | |
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6 | 5 | |
508 | 26 | |
- | - | |
3.2 | 10.0 | |
about 1 year ago | over 1 year ago | |
TypeScript | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
yt-semantic-search
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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
codesearch
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Show HN: Natural Language Search for Any GitHub Repo
Hi folks, I created an open-source codebase search tool.
Just enter any public Github URL and your search query to get top matching functions on the repo.
Source Code: https://github.com/rahuldan/codesearch
Made it using the OpenAI's embeddings API, FAISS and Postgres.
Currently supports only Python and vanilla Javascript projects. And the max repo size is 100MB
You can self-host using Docker setup from my Github (This would allow you to index local repos)
Would love to hear your feedback
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Natural Language Search for Codebases (https://github.com/rahuldan/codesearch)
Link: https://github.com/rahuldan/codesearch
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Show HN: GPTDuck – Ask questions about any GitHub repo
Great project!!
I was building something on similar lines. It is a semantic search engine for codebases using Openai's embedding and FAISS https://github.com/rahuldan/codesearch
It fetches the functions in the code for a query
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Show HN: Semantic Search for Any Video
Hey really cool project!!
I also built a semantic search engine for codebases using Openai's embedding and FAISS https://github.com/rahuldan/codesearch
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Ask HN: Any other tools like CodeQL?
Hi, I recently created an open-source project that does semantic search on code bases. You can check it out on https://github.com/rahuldan/codesearch
Would love to hear your feedback
What are some alternatives?
openai-cookbook - Examples and guides for using the OpenAI API
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
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
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.
weggli - weggli is a fast and robust semantic search tool for C and C++ codebases. It is designed to help security researchers identify interesting functionality in large codebases.
website - Code for my personal page at ca.lebe.gg
youtube-summarized-browser-extension - YouTube Summarized - Browser extension for summarizing YouTube videos using GPT3 🎥
semantic-code-search - Search your codebase with natural language • CLI • No data leaves your computer
aidoc - A simple CLI tool to generate documentation for your Python projects automatically.
particle-abcs - Simple ABC book for particle physics