phoenix
quivr
| phoenix | quivr | |
|---|---|---|
| 4 | 23 | |
| 2,799 | 33,427 | |
| 15.3% | 9.1% | |
| 9.9 | 9.9 | |
| 5 days ago | 3 days ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
phoenix
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First 15 Open Source Advent projects
11. Phoenix by Arize AI | Github | tutorial
- Show HN: Phoenix OSS – Applying LLM Spans, Traces, and Evals for AI Insights
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I'll build your AI app for you free of charge(Yes, there's a catch).
Happy to explain more. This package has a great umap visualization that helps explain the context, but building it off clusters established in batch is less useful than an event driven response.
- ML Observability in a Notebook
quivr
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privateGPT VS quivr - a user suggested alternative
2 projects | 12 Jan 2024
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First 15 Open Source Advent projects
3. Quivr | GitHub | tutorial
- What's the catch with codecanyon?
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Went down the rabbit hole of 100% local RAG, it works but are there better options?
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.
- FLaNK Stack Weekly for 21 August 2023
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Discord Is Not Documentation
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
- Quivr
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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.
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.
- Quivr – Your Second Brain, Empowered by Generative AI
- Quivr: Chatting with your own docs
What are some alternatives?
dev-gpt - Your Virtual Development Team
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
OpenLLM - Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
chart-gpt - AI tool to build charts based on text input
MetaGPT - 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Flowise - Drag & drop UI to build your customized LLM flow
EVAL - EVAL(Elastic Versatile Agent with Langchain) will execute all your requests. Just like an eval method!
databerry - The no-code platform for building custom LLM Agents
dvclive - 📈 Log and track ML metrics, parameters, models with Git and/or DVC
xTuring - Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
aider - aider is AI pair programming in your terminal
vault-ai - 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.