PrivateGPT4Linux
This shell script installs an upgraded GUI version of privateGPT for Linux. (by MichaelSebero)
Flowise
Drag & drop UI to build your customized LLM flow (by FlowiseAI)
| PrivateGPT4Linux | Flowise | |
|---|---|---|
| 23 | 21 | |
| 16 | 25,318 | |
| - | 10.0% | |
| 4.1 | 9.9 | |
| 26 days ago | 5 days ago | |
| Shell | TypeScript | |
| GNU General Public License v3.0 only | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
PrivateGPT4Linux
Posts with mentions or reviews of PrivateGPT4Linux.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-19.
- PrivateGPT: Interact with your documents using the power of GPT, 100% privately, no data leaks
-
Need guidance in this sea of information on how to set up a local AI
I found things like this dataset and LocalAI and I followed the article to get PrivateGPT and the GPT4ALL groovy.bin but I'm completely lost and it feels like the more I research the internet or ask BingAI for answers, the more questions I get instead. At this stage I don't know what goes where, if there's a difference between source documents and datasets, should I run this from my 2tb SSD? Should I have the data on my 8tb HDD? Will all this even work on my PC?
-
Several newb questions
No, as the same as the last question, It does not have access to anything except the model data itself. However, there are some approaches that can let LLMs have access LOCAL documents, which means if you can have a program that extracts data from the database into a local folder which contains TEXT files. This could also work for 2(I didn't mention it in 2 because online datas are REALLY big. It would take the model hours to give an answer. If the database is not large then there might be a shot. Check https://github.com/imartinez/privateGPT(Must be GPT4all compatible models sadly).
-
What solution would best suite a SaaS - for reading and answering data from PDF files uploaded by users
I've been doing exactly this with an open source repository called PrivateGPT imartinez/privateGPT: Interact privately with your documents using the power of GPT, 100% privately, no data leaks (github.com)
- How to run an open source AI model, offline, on my own computer?
- Check out my script which installs privateGPT for Linux!
-
are there anytools or frameworks similar to "langchain" or "llamaindexbut implemented or designed in a language other than python?
Not really, you will probably need to change the data location and the LLM provider in the example code to get it running. But you don't have to implement that yourself there are a couple projects that already do that like privateGPT. I use it for searching datasheets, got it up an running in a few hours and I'm pretty happy with it so far.
-
Intern tasked to make a "local" version of chatGPT for my work
PrivateGPT can do that.
- I've made privateGPT work for Linux check it out (documents)
- I've made privateGPT work for Linux check it out
Flowise
Posts with mentions or reviews of Flowise.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-12.
- FLaNK Stack Weekly 12 February 2024
-
Docker Image not running. Error Command failed with exit code 127
The GitHub repo is: https://github.com/FlowiseAI/Flowise
-
Show HN: Rivet – open-source AI Agent dev env with real-world applications
- https://github.com/FlowiseAI/Flowise
It's absolutely ok if the answer is "Yes", I think that in this hot market each product will find a place. And competition is also motivate :)
It would be also nice to add Rivet here:
- Show HN: ChainForge, a visual tool for prompt engineering and LLM evaluation
-
Bing claims my Yamaha sound bar has a 3.5 mm mini-jack, and when the error is pointed out it doubles down by inventing a reference to a non-existing manual, including a firmware update adding a physical 3.5 mm input port
If you're doing anything more custom or advanced than the regular ChatGPT type of interface can handle, you can use Flowise to build your own bot with any number of advanced plugins like internet search, calculators, recursion, file read/write access, long-term memory, other AI's...
-
How to add SystemMessage to ConversationalRetrievalQAChain?
Dove into Flowise Docs for a useful example.
-
How to create a Langchain application that can Chat with multiple large JSON files
For rapid prototyping try Flowise
-
What exactly is AutoGPT?
Flowise as well, you are right!
-
LocalAI v1.18.0 release!
Flowise
-
April 2023
Drag & drop UI to build your customized LLM flow using LangchainJS (https://github.com/FlowiseAI/Flowise)
What are some alternatives?
When comparing PrivateGPT4Linux and Flowise you can also consider the following projects:
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
langflow - ⛓️ Langflow is a dynamic graph where each node is an executable unit. Its modular and interactive design fosters rapid experimentation and prototyping, pushing hard on the limits of creativity.
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
llama.go - llama.go is like llama.cpp in pure Golang!
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
chatbot-ui - AI chat for every model.
Voyager - An Open-Ended Embodied Agent with Large Language Models
rivet-example
llm - An ecosystem of Rust libraries for working with large language models
deepdoctection - A Repo For Document AI
llm-chain - `llm-chain` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks
hugo-quick-start - Hugo Quick Start on Render
PrivateGPT4Linux vs private-gpt
Flowise vs langflow
PrivateGPT4Linux vs nanoGPT
Flowise vs llama.go
PrivateGPT4Linux vs langchain
Flowise vs chatbot-ui
PrivateGPT4Linux vs Voyager
Flowise vs rivet-example
PrivateGPT4Linux vs llm
Flowise vs deepdoctection
PrivateGPT4Linux vs llm-chain
Flowise vs hugo-quick-start