flask-socketio-llm-com
danswer
flask-socketio-llm-com | danswer | |
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3 | 28 | |
- | 9,290 | |
- | 5.0% | |
- | 9.9 | |
- | 6 days ago | |
Python | ||
- | 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.
flask-socketio-llm-com
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Ask HN: What have you built with LLMs?
https://github.com/russellballestrini/flask-socketio-llm-com...
This project is a chatroom application that allows users to join different chat rooms, send messages, and interact with multiple language models in real-time. The backend is built with Flask and Flask-SocketIO for real-time web communication, while the frontend uses HTML, CSS, and JavaScript to provide an interactive user interface.
demo here supports communication with `vllm/openchat`:
* http://home.foxhop.net:5001
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Ask HN: How to figure out a good direction/goals for the year ahead?
next year I'm focusing on learning more about AI, I bought a $3.5k computer with an nvidia RTX 4090 24G of memory, it arrived today, I plan to extend my playground chat app to use local models for text generation and image generation inference (https://github.com/russellballestrini/flask-socketio-llm-com...)
I'm going to be looking into fine tuning process in some way.
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Open source alternative to ChatGPT and ChatPDF-like AI tools
https://github.com/russellballestrini/flask-socketio-llm-com...
I'm building a similar app but uses python/socket.io
danswer
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Show HN: Cognita – open-source RAG framework for modular applications
You might want to look at https://github.com/danswer-ai/danswer as well, as it sounds like their UI might be of suited for your use case.
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Show HN: I made an app to use local AI as daily driver
There are already several RAG chat open source solutions available. Two that immediately come to mind are:
Danswer
https://github.com/danswer-ai/danswer
Khoj
https://github.com/khoj-ai/khoj
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Launch HN: Danswer (YC W24) – Open-source AI search and chat over private data
We have a connector interface and build guide for contributors: https://github.com/danswer-ai/danswer/blob/main/backend/dans...
Should be not too bad to build one out! Fun fact, more than half the connectors were built entirely by community members who needed them for their own teams and we're super grateful when they contribute it back to the repo.
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Findr VS danswer - a user suggested alternative
2 projects | 7 Feb 2024
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Show HN: DanswerChat – open-source GPTs with access to all your org's knowledge [video]
Danswer is an MIT licensed project that can connect to a wide range of SaaS tools and provide a search/chat (RAG) functionality to help your team discover information and to turn that information into deeper understanding and actionable insights.
Code here: https://github.com/danswer-ai/danswer
- Open source alternative to ChatGPT and ChatPDF-like AI tools
- Danswer: Self-Hosted way to connect an LLM of your choice to Docs, Websites, and SaaS tools like Google Drive, Notion, Bookstack, Zulip, etc.
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Show HN: DanswerBot – Open-source Slack bot to automate repetitive questions
Slack questions have always been a huge time sink for me. They’re a distraction that pulls me away from what I’m doing, and often requires digging up old knowledge. If I’m in the middle of something complex, I may take a while to context switch and get around to answering, which leaves the asker blocked for hours.
Addressing this seems simple: give an LLM your organizational context and plop it in Slack to answer things for you.
So that’s why we built DanswerBot! It’s MIT licensed (https://github.com/danswer-ai/danswer) and completely free to use. The bot can automatically sync with and back answers based on documents from Slack, Google Drive, GitHub, Confluence, Jira, Notion, local files, websites, and much more.
Quick demo vid: https://www.youtube.com/watch?v=5q35NeqsMnU
A quick note on hallucinations: in order to reduce their prevalence, all answers are backed by quotes. If the LLM-provided quotes don’t match any document or no quotes are given, we’ll warn the asker that something may have gone wrong. Additionally, all used documents are linked in case the asker wants to double check the answer. Answers can be thumbs-upped or thumbs-downed and all questions / answers are recorded in Postgres for easy future inspection / analysis.
For usability, we provide an admin dashboard where you can configure connectors (we have 14 currently). Once a connector is set up, we poll data sources every 10 minutes to keep answers up to date. Which LLM to use is also up to you - DanswerBot can be configured to use a locally hosted model, Azure OpenAI, or OpenAI directly.
Finally, if you aren’t a slack user (or if you just prefer a more tailored UI), there’s also a web interface to ask questions against your knowledge base. A short demo for that can be found at: https://youtu.be/cWWtnuVCUX0
Of course there’s a bunch more that I can’t cover in one post - happy to take questions in the comments (or in our Slack / Discord, which are linked on the Github repo).
If you’re interested in testing this out yourself, you can easily run everything locally with a single command. Docs to help you can be found at https://docs.danswer.dev/quickstart!
- App to auto-answer user questions in your Slack
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DanswerBot - open source SlackBot that answers questions for you
Code: https://github.com/danswer-ai/danswer