langflow
LLMStack
langflow | LLMStack | |
---|---|---|
28 | 20 | |
17,467 | 1,112 | |
12.6% | 8.0% | |
10.0 | 9.9 | |
4 days ago | 6 days ago | |
JavaScript | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
langflow
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News DataStax just bought our startup Langflow
Hey folks I'm the Head of DevRel @ DataStax here and just wanted to share to the HN community that in conjunction with this big acquisition news, the LF team has shipped 1.0-alpha of Langflow.
It's a simple `pip install` and the team would love any and all feedback!
https://github.com/logspace-ai/langflow/
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Node-based AutoGen with local LLMs inside ComfyUI
You can also check langflow, a node UI for langchain https://github.com/logspace-ai/langflow
- Show HN: Rivet – open-source AI Agent dev env with real-world applications
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Using Retrieval Augmented Generation to Clear Our GitHub Backlog
There's a few tools out there like AgentGPT (https://github.com/reworkd/AgentGPT, although it's a more conversational interface), and (https://github.com/logspace-ai/langflow) and others. I think most developers definitely prefer a code-first interface though like a library but haven't found one that's great yet. We've used them in the past but didn't have the best experience so would love to hear if anyone has worked with a library they found really flexible.
- Show HN: ChainForge, a visual tool for prompt engineering and LLM evaluation
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Anyone know how to get LangFlow working with oobabooga?
I found this thread talking about it here: https://github.com/logspace-ai/langflow/issues/263
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Found a fun little open source project called Flowise. It's a drag & drop UI to build your customized LLM flow using LangchainJS
also check https://github.com/logspace-ai/langflow
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What exactly is AutoGPT?
AutoGPT is basically a demo of what you can do with Langchain. If you want to play with Langchain in a drag and drop blueprint environment I suggest Langflow
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Launch HN: Fastgen (YC W23) – Visual Low-Code Back End Builder
Hi, I like this! I'm curious what drove the decision to use the vertical block builder style you chose. I'm partial to node-based editors and have been building things with React Flow recently. LangFlow [1] is a good example, but there's lots of UIs that use a similar interface (e.g. Blender [2] and Unity [3]).
[1] https://github.com/logspace-ai/langflow
[2] https://docs.blender.org/manual/en/3.5/interface/controls/no...
[3] https://unity.com/features/unity-visual-scripting
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Having fun testing CanvasGPT - a new project launching soon
Here's an open source version that's very similar LangFlow
LLMStack
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Vanna.ai: Chat with your SQL database
We have recently added support to query data from SingleStore to our agent framework, LLMStack (https://github.com/trypromptly/LLMStack). Out of the box performance performance when prompting with just the table schemas is pretty good with GPT-4.
The more domain specific knowledge needed for queries, the harder it has gotten in general. We've had good success `teaching` the model different concepts in relation to the dataset and giving it example questions and queries greatly improved performance.
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FFmpeg Lands CLI Multi-Threading as Its "Most Complex Refactoring" in Decades
This will hopefully improve the startup times for FFmpeg when streaming from virtual display buffers. We use FFmpeg in LLMStack (low-code framework to build and run LLM agents) to stream browser video. We use playwright to automate browser interactions and provide that as tool to the LLM. When this tool is invoked, we stream the video of these browser interactions with FFmpeg by streaming the virtual display buffer the browser is using.
There is a noticeable delay booting up this pipeline for each tool invoke right now. We are working on putting in some optimizations but improvements in FFmpeg will definitely help. https://github.com/trypromptly/LLMStack is the project repo for the curious.
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Show HN: IncarnaMind-Chat with your multiple docs using LLMs
We built https://github.com/trypromptly/LLMStack to serve exactly this persona. A low-code platform to quickly build RAG pipelines and other LLM applications.
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A Comprehensive Guide for Building Rag-Based LLM Applications
Kudos to the team for a very detailed notebook going into things like pipeline evaluation wrt performance and costs etc. Even if we ignore the framework specific bits, it is a great guide to follow when building RAG systems in production.
We have been building RAG systems in production for a few months and have been tinkering with different strategies to get the most performance out of these pipelines. As others have pointed out, vector database may not be the right strategy for every problem. Similarly there are things like lost in the middle problems (https://arxiv.org/abs/2307.03172) that one may have to deal with. We put together our learnings building and optimizing these pipelines in a post at https://llmstack.ai/blog/retrieval-augmented-generation.
https://github.com/trypromptly/LLMStack is a low-code platform we open-sourced recently that ships these RAG pipelines out of the box with some app templates if anyone wants to try them out.
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Building a Blog in Django
Django has been my go to framework for any new web project I start for more than a decade. Its batteries-included approach meant that one could go pretty far with just Django alone. Included admin interface and the views/templating setup was what first drew me to the project.
Django project itself has kept pace with recent developments in web development. I still remember migrations being an external project, getting merged in and the transition that followed. Ecosystem is pretty powerful too with projects like drf, channels, social-auth etc., covering most things we need to run in production.
https://github.com/trypromptly/LLMStack is a recent project I built entirely with Django. It uses django channels for websockets, drf for API and reactjs for the frontend.
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Show HN: Rivet – open-source AI Agent dev env with real-world applications
We recently opensourced a similar platform for building workflows by chaining LLMs visually along with LocalAI support.
Check it out at https://github.com/trypromptly/LLMStack. Like you said, it was fairly easy to integrate LocalAI and is a great project.
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Show HN: Retool AI
Would you mind expanding why it was tough to get started with Retool?
We are building https://github.com/trypromptly/LLMStack, a low-code platform to build LLM apps with a goal of making it easy for non-tech people to leverage LLMs in their workflows. Would love to learn about your experience with retool and incorporate some of that feedback into LLMStack.
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We built a self-hosted low-code platform to build LLM apps locally and open-sourced it
We built LLMStack for our internal purposes and pulled it out into its own repo and open sourced it at https://github.com/trypromptly/LLMStack.
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LLMStack: self-hosted low-code platform to build LLM apps locally with LocalAI support
LLMStack (https://github.com/trypromptly/LLMStack) is a no-code platform to build LLM apps that we have been working on for a few months and open-sourced recently. It comes with everything out of the box that one needs to build LLM apps locally or in an enterprise setting.
- LLMStack: a self-hosted low-code platform to build LLM apps locally
What are some alternatives?
Flowise - Drag & drop UI to build your customized LLM flow
anything-llm - The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
langchain-visualizer - Visualization and debugging tool for LangChain workflows
azurechatgpt - 🤖 Azure ChatGPT: Private & secure ChatGPT for internal enterprise use 💼
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
spider - scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge
Local-LLM-Comparison-Colab-UI - Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
audapolis - an editor for spoken-word audio with automatic transcription
GPTQ-for-LLaMa - 4 bits quantization of LLaMa using GPTQ
SpeechRecognition - Speech recognition module for Python, supporting several engines and APIs, online and offline.
serge - A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.
azure-search-openai-demo - A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.