roboagent VS quivr

This work (RoboAgent) is not a run of the mill result. It might look not as shiny as Boston Dynamic does the demos, but it's an actual improvement of what's possible.

One of the biggest issues with Robotics is that it's really hard to program the robots. The ability to set the tasks to the robot with a language brings the complexity down and makes it potentially accessible to regular people. We are not there yet, but RoboAgent is a fine step towards that direction.

Let's hope that the code will be released soon as promised at https://github.com/robopen/roboagent/. RoboAgent is much better than RT-1, and comparable to RT-2. But the latter is not open-source, and so has a limited usefulness in advancing the state of art (unfortunately).

Dismissing great results only because they don't have a video with $100k production budget is not what science is about.

3. Quivr | GitHub | tutorial

I used Ollama (with Mistral 7B) and Quivr to get a local RAG up and running and it works fine, but was surprised to find there are no easy user-friendly ways to do it. Most other local LLM UIs don't implement this use case (I looked here), even though it is one of the most useful local LLM use-cases I can think of: search and summarize information from sensitive / confidential documents.

In my opinion LLM based document search tools such as OSS Quivr may be better suited for documentation search for startups.

A highly customed Quivr with one of the 'Open Source LLMs' may provides great 'semantic search' for product documentation.

https://github.com/StanGirard/quivr

Hey thanks for creating this, will try later if i have time. Meanwhile, do you try some of other second brain app such as this, and how was the comparison? The one i mentioned was trending on github so i think its decent (been playing with it since last week or so, also). But i already starred your repo so i can come back later.