vault-ai
promptr
vault-ai | promptr | |
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80 | 16 | |
3,231 | 883 | |
- | - | |
5.7 | 8.4 | |
9 months ago | 2 months ago | |
JavaScript | JavaScript | |
MIT License | MIT License |
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vault-ai
- I built an open source website that lets you upload large files, such as in-depth novels/ebooks or academic papers, and ask GPT4 questions based on your specific knowledge base. So far, I've tested it with long books like the Odyssey and random research PDFs, and I'm shocked at how incisive it is.
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Any better alternatives to fine-tuning GPT-3 yet to create a custom chatbot persona based on provided knowledge for others to use?
There's this GitHub repo for Pinecone Vector with custom knowledge base: VaultAI. But I'm sure the costs would be exorbitant at scale. Basically trains it on specific files, but the API is expensive as expected. Edit: I didn't read and thought you were talking about training your own, sorry. But I'll leave the second paragraph up anyways lol. Someone mentioned LLaMA and another Falcon, the latter of which I hadn't heard of but which looks good too.
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I built an open source website that lets you upload large files such as academic PDFs or books and ask ChatGPT questions based on your custom knowledge base. So far, I've tried it with long ebooks like Plato's Republic, old letters, and random academic PDFs, and it works shockingly well.
Check out the instructions readme here! You may need a little bit of command line know-how but chatgpt can help guide you if you provide it the contents of the readme
- Are there any good free GPT-powered AI summarizer for very long text?
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I built an open source website that lets you upload large files, such as long ebooks or academic papers, and ask ChatGPT questions about your specific knowledge base. So far, I've tested it with long e-books like the Odyssey and random research PDFs, and I'm shocked at how incisive it is
Yes, this use-case is a perfect fit actually – This deals very well with any type of manual with lots of human readable text (as opposed to charts or code). It is also better at answering more specific questions, so the example you gave regarding diagnosing engine issues is a really good match for what this is capable of. If you want to try it out you can check out the deployed version of the code here: https://vault.pash.city
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Any help condensing academic journal articles using ChatGPT?
Have you tried Vault AI? Saw it pop up on a couple of other Reddits!
- OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
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April 2023
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (https://github.com/pashpashpash/vault-ai)
- Using ChatGPT to read multiple PDFs and create writing using them as sources
promptr
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Ask HN: What are some actual use cases of AI Agents?
I taught https://github.com/KillianLucas/open-interpreter how to use https://github.com/ferrislucas/promptr
Then I asked it to add a test suite to a rails side project. It created missing factories, corrected a broken test database configuration, and wrote tests for the classes and controllers that I asked it to.
I didn't have to get involved with mundane details. I did have to intervene here and there, but not much. The tests aren't the best in the world, but IMO they're adding value by at least covering the happy path. They're not as good as an experienced person would write.
I did spend a non-trivial amount of time fiddling with the prompts I used to teach OI about Promptr as well as the prompts I used to get it to successfully create the test suite.
The total cost was around $11 using GPT4 turbo.
I think in this case it was a fun experiment. I think in the future, this type of tooling will be ubiquitous.
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Ask HN: What apps have you created for your own use?
I made a CLI tool called Promptr that allows you to make changes to a codebase via plain English instructions:
https://github.com/ferrislucas/promptr
There’s a templating system (liquidjs) included which is useful if you have a library of prompts that you want to reference often.
You can think of it as a junior engineer that needs explicit instructions.
Here are a few example PR’s implemented by Promptr - see the commits for the prompt that was used to produce the code:
https://github.com/ferrislucas/promptr/pull/38
https://github.com/ferrislucas/promptr/pull/41
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Another Major Outage Across ChatGPT and API
https://github.com/ferrislucas/promptr
You just prompt it directly or with a file, and it applies the changes to your file system. There's also a templating system that allows you to reference other files from your prompt file if you want to have a shared prompt file that contains project conventions etc.
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ReactAgent: LLM Agent for React Coding
This is exactly the use that Promptr is intended for https://github.com/ferrislucas/promptr
* full disclosure: I’m the author of Promptr
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Ask HN: How do you use AI to get things done faster?
I’ve been experimenting with pairing a tool I wrote called Promptr [1] with another tool called Open Interpreter [2].
I start with a prompt that teaches Open Interpreter how to use Promptr, and then I discuss what I’m trying to accomplish. It’s certainly not perfect, but there’s definitely something good that happens when you can iterate using dialog with a robot that can modify your file system and execute commands locally.
[1] Promptr: https://github.com/ferrislucas/promptr
[2] Open Interpreter: https://github.com/KillianLucas/open-interpreter
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Coders Can Survive–and Thrive–In a ChatGPT World
I wrote a great tool for this: https://github.com/ferrislucas/promptr
It’s great for making changes to existing code because it automatically includes the relevant files for context.
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ChatGPT Changed How I Write Software
For those looking for specific examples of useful code being authored by AI, you can check out this tool:
https://github.com/ferrislucas/promptr
The README links to example PR’s comprised of commits written by GPT4. The prompts used to produce the code are noted in the commit messages.
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Ask HN: What's your favorite GPT powered tool?
Promptr is a coding assistant tool that allows you to ask GPT to produce or modify code, and the results will be automatically applied to your file system.
https://github.com/ferrislucas/promptr
From the README:
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Any recommended tools for accessing codebases?
I'm also interested in this problem. It can be theoretically solved by giving GPT long-term memory about a specific codebase through vector embedding generation (using OpenAI's embeddings API). The semantic embeddings can then be stored in a vector (or vector-supported) database such as Pinecone alongside metadata for querying. Some of the key considerations are how to compare vectors for similarity (there are many algorithms) and how to use metadata to better support your use case. The following resources can be helpful to further understand this technique: - https://platform.openai.com/docs/guides/embeddings - https://www.mlq.ai/fine-tuning-gpt-3-question-answer-bot/ - https://www.pinecone.io/learn/javascript-chatbot/ A couple of semi-related projects I've been looking into: - https://github.com/ferrislucas/promptr - https://github.com/pashpashpash/vault-ai
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5-Apr-2023
Promptr is a CLI tool for operating on your codebase using GPT. (https://github.com/ferrislucas/promptr)
What are some alternatives?
paper-qa - LLM Chain for answering questions from documents with citations
lmql - A language for constraint-guided and efficient LLM programming.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
gish - GPT command line
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
plz-cli - Copilot for your terminal
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
AGiXT - AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
ChatIDE - AI Coding Assistant in your IDE - ChatGPT (OpenAI) and Claude (Anthropic) in a VSCode extension.
ChatGPT-Pokemon-StyleGame - Using ChatGPT to make pokemon style game
gpt4all - gpt4all: run open-source LLMs anywhere