quivr
flyte
| quivr | flyte | |
|---|---|---|
| 22 | 31 | |
| 32,917 | 4,779 | |
| 7.7% | 2.3% | |
| 9.9 | 9.8 | |
| 1 day ago | 6 days ago | |
| TypeScript | Go | |
| Apache License 2.0 | 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.
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
flyte
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First 15 Open Source Advent projects
9. Flyte by Union AI | Github | tutorial
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Flyte 1.10: Self-hosted solution to build production-grade data and ML pipelines; now ships with monorepo, new agents and sensors, eager workflows and more 🚀 (4.1k stars on GitHub)
GitHub: https://github.com/flyteorg/flyte
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Flyte: Open-source orchestrator for building production-grade ML pipelines
This is actually but a link to Flyte, this is a link to the documentation for the Flyte integration in LangChain, a separate product.
Flyte's homepage is https://flyte.org/
- Flyte: Advanced workflow orchestration alternative to Apache Airflow
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Orchestration: Thoughts on Dagster, Airflow and Prefect?
Anyone tried Flyte?
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Flyte 1.6.0: Self-hosted solution to build production-grade data and ML pipelines; now ships with PyTorch elastic training, image specification without dockerfile, enhanced task execution insights and more 🚀 (3.4k stars on GitHub)
Website: https://flyte.org/
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Flyte(v1.5.0) - Self-hosted solution to build production-grade data and ML pipelines; now ships with streaming support, pod templates, partial tasks and more 🚀 (3.2k stars on GitHub)
Flyte is an open source orchestration tool for managing the workflow of machine learning and AI projects. It runs on top of Kubernetes.
- Flyte: Open-Source Kubernetes-Native ML Orchestrator Implemented in Go
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What is MLOps and how to get started? | MLOps series | Deploying ML in production
I have a question though, what is your opinion on https://flyte.org. My pipeline uses this and it’ll be interesting to get your perspectives on it’s capabilities.
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Github alternative for ML?
Have you looked at flyte.org. It aims to bring "versioning", "compute" and "reproducibility" together in one package.
What are some alternatives?
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
chart-gpt - AI tool to build charts based on text input
argo - Workflow Engine for Kubernetes
Flowise - Drag & drop UI to build your customized LLM flow
temporal - Temporal service
databerry - The no-code platform for building custom LLM Agents
kubeflow - Machine Learning Toolkit for Kubernetes
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
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
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.
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.