oshams
oshams on Hacker News
There is no data carried over from Mutable if that's what you're referring to. Please refer to the final email sent to users which I don't have access to.
Hello HN,
We previously launched Auto Wiki (https://news.ycombinator.com/item?id=38915999) in Jan 2024 and broke the ground for AI generated wikis that explain your code. Now this product has been rebuilt by the same team, as well as others and launched as a part of Google. Hope you enjoy.
Although, I've recently moved on to working on Gemini and AI research, I'm still involved as an advisor and founder emeritus of sorts. This team moves extremely fast and while we don't have full availability yet, we're working hard on addressing some early feedback before we make it more widely available including for private repos. Personally, I think the NotebookLM integration is a nice touch and distinguishing factor that we could only do as Google.
I hope you enjoy.
Thank You,
Omar
(Formerly Founder/CEO MutableAI)
Interesting direction. We also have a codebase chat (example here
https://wiki.mutable.ai/ollama/ollama) that HN might find appealing. It uses a wiki as a living artifact owned by your team to power the chat, gives us increased context length and reasoning capabilities. We didn't really like the results we got with embeddings. Have been pretty thrilled with the results on Q&A, search, and even codegen (more on that soon).
sure thing, running it now!
Thanks! It's a multi stage process where we summarize the code and structure it into articles. We also do some self verification, for example checking for dead links.
thanks! we tried to include some info in this post.
BTW, if you ask for an open source repo in the comments to be processed by our system, we'll do it for free!
i actually think the world has many free lunches for those looking hard enough :)
It's funny to see this because from my perspective we've done this on a pretty scrappy budget. That said we're thinking of adding an open access for select repos. Why is logging in so terrible? We want to get to know our users.
yes, it's AI generated, but you can actually revise it manually and with a simple instruction to the AI!
patience ... all part of our plan :)
Wow, I didn't notice this hit the front page until now, will be answering questions momentarily!
Posted by
oshams on Thursday July 18, 2024 @05:00PM
from the now-hiring dept.
We're thrilled to have built a codebase chat that leapfrogs traditional RAG techniques by feeding LLMs a wiki of a codebase to answer questions.We want to take this to the next level, we're doing cutting edge research on MCTS, agents, to take our expert to the next level and be able to autonomously execute tasks on codebases as well as answer any question on a repo.Apply to open roles here:...
Posted by
oshams on Thursday July 18, 2024 @02:40PM
from the show-hn dept.
https://twitter.com/mutableai/status/1813815706783490055
TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'.Part of our mission at Mutable.ai is to make it much easier for developers to build and understand software. One of the natural ways to do this is to create a codebase chat, that answer questions about your repo and help you build features.It might seem simple to...
Posted by
oshams on Thursday July 18, 2024 @02:10AM
from the blog.mutable.ai dept.
Thanks for the suggestion but we need to alert our users of important changes!
it takes a few hours but we're adding parallelization so it takes only a few minutes for typical repos
for it to stay up to date simply have an active subscription and we'll take care of the rest!
sure thing, running it now!
Posted by
oshams on Monday July 15, 2024 @05:30PM
from the show-hn dept.
https://wiki.mutable.ai/Dao-AILab/flash-attention
Hi HN!We wanted to introduce our codebase chat that uses a wiki of your repo to do retrieval instead of traditional vector or keyword RAG.We have been pleasantly surprised by the quality of responses. We think creating a language knowledge base for LLMs to do RAG is the future. The way this works is we first write a Wikipedia style article on your codebase complete with diagrams and citations...