Nuggt VS h2ogpt

Yes, there is a lot of potential. You can check this project for agents: https://github.com/Nuggt-dev/Nuggt/ . Currently I only have "simple" projects: mostly 0-shots LLMs to get some responses. Agents are not yet mature enough to be integrated in production environments.

Check out the Github Repository

Things are changing every day. Take a look here: https://github.com/Nuggt-dev/Nuggt This is AutoGPT equivalent using a self hosted model. See what it can do.

Automate any task with a single AI Command (https://github.com/Nuggt-dev/Nuggt)

Demo Video: https://github-production-user-asset-6210df.s3.amazonaws.com/52075633/244840595-00e7c82c-61fe-4f04-b589-d65b97f441ff.mp4 🔎 Call for Feedback: We invite the community to try out Nuggt and provide valuable feedback. Let us know your thoughts, suggestions, and any improvements you'd like to see. Your feedback will help us shape the future of Nuggt and make it even better. 🔗 Find Nuggt on GitHub (We are looking for collaborators): https://github.com/Nuggt-dev/Nuggt 🌟 Join the Nuggt Discord Server: https://discord.gg/gzdCDM84 💡 Follow our 30 Days 30 Tasks with Nuggt challenge on Twitter: https://twitter.com/OfficialNuggt PS: While our current implementation leverages the power of GPT-3.5, we recognise the need for cost-effective solutions without compromising functionality. Our ongoing efforts involve exploring and harnessing the potential of smaller models like Vicuna 13B, ensuring that task automation remains accessible to a wider audience.

🔗 Find Nuggt on GitHub (We are looking for collaborators): https://github.com/Nuggt-dev/Nuggt

🌟 Join the Nuggt Community: Get involved, contribute, and join the discussions on our GitHub repository. We're building a vibrant community, and we'd love to have you on board!

As others have said you want RAG.

The most feature complete implementation I've seen is h2ogpt[0] (not affiliated).

The code is kind of a mess (most of the logic is in an ~8000 line python file) but it supports ingestion of everything from YouTube videos to docx, pdf, etc - either offline or from the web interface. It uses langchain and a ton of additional open source libraries under the hood. It can run directly on Linux, via docker, or with one-click installers for Mac and Windows.

It has various model hosting implementations built in - transformers, exllama, llama.cpp as well as support for model serving frameworks like vLLM, HF TGI, etc or just OpenAI.

You can also define your preferred embedding model along with various other parameters but I've found the out of box defaults to be pretty sane and usable.

[0] - https://github.com/h2oai/h2ogpt

Here's the links: https://github.com/h2oai/h2ogpt/blob https://github.com/h2oai/h2ogpt/blob/main/docs/README_LangChain.md

Take a look at h2ogpt. It's open and local with API (incoming and outgoing) and impressive feature set, including RAG from docs, images, and web search.

I've stumbled upon h2ogptas a potential starting point. Are there better solutions or repositories that can meet these requirements?

Any recommendations for an open source repos that support web based chat ui where you can upload docs,pds,links,etc? So far i found https://github.com/openchatai/OpenChat but it doesnt support llama, claude, etc. Theres also https://github.com/h2oai/h2ogpt but their gradio UI is overly complicated (meant for technical people) and not user friendly.

I'm also working on the finetuning of models for Q&A and I've finetuned llama-7b, falcon-40b, and oasst-pythia-12b using HuggingFace's SFT, H2OGPT's finetuning script and lit-gpt.

Github link: https://github.com/h2oai/h2ogpt

quite a number of AI tools written in Python do not work for me and usually because of the same error: RuntimeError: Failed to import transformers.models.auto because of the following error (look up to see its traceback): No module named 'tokenizers.tokenizers' This time it's https://github.com/h2oai/h2ogpt