Memex
private-gpt
Memex | private-gpt | |
---|---|---|
5 | 131 | |
4,335 | 51,882 | |
0.5% | 2.6% | |
10.0 | 9.2 | |
5 days ago | 2 days ago | |
TypeScript | 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.
Memex
-
Mozilla "MemoryCache" Local AI
I think WorldBrain (https://github.com/WorldBrain/Memex) promises this. While I'm also excited by the idea, I think there was some reason why I ended up not using it.
-
"AI" "GPT" bookmark manager? Is there such a thing that's selfhosted?
https://github.com/WorldBrain/Memex looks perfect but I don't see any mention of them adding something like this.
- Show HN: Save and search the full text of the browser history
-
Solution to annotate web articles and organize them into folders.
maybe this one? https://github.com/WorldBrain/Memex
-
Bookmark app for desktop and iOS
https://github.com/WorldBrain/Memex for source code
private-gpt
-
Ask HN: Has Anyone Trained a personal LLM using their personal notes?
PrivateGPT is a nice tool for this. It's not exactly what you're asking for, but it gets part of the way there.
https://github.com/zylon-ai/private-gpt
-
PrivateGPT exploring the Documentation
Further details available at: https://docs.privategpt.dev/api-reference/api-reference/ingestion
- Show HN: I made an app to use local AI as daily driver
-
privateGPT VS quivr - a user suggested alternative
2 projects | 12 Jan 2024
-
Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
Run https://github.com/imartinez/privateGPT
Then
make ingest /path/to/folder/with/files
Then chat to the LLM.
Done.
Docs: https://docs.privategpt.dev/overview/welcome/quickstart
-
Mozilla "MemoryCache" Local AI
PrivateGPT repository in case anyone's interested: https://github.com/imartinez/privateGPT . It doesn't seem to be linked from their official website.
-
What Is Retrieval-Augmented Generation a.k.a. RAG
I’m preparing a small internal tool for my work to search documents and provide answers (with references), I’m thinking of using GPT4All [0], Danswer [1] and/or privateGPT [2].
The RAG technique is very close to what I have in mind, but I don’t want the LLM to “hallucinate” and generate answers on its own by synthesizing the source documents. As stated by many others, we’re living in interesting times.
[0] https://gpt4all.io/index.html
[1] https://www.danswer.ai/
[2] https://github.com/imartinez/privateGPT
- LM Studio – Discover, download, and run local LLMs
-
Ask HN: Local LLM Recommendation?
https://www.reddit.com/r/LocalLLaMA/comments/14niv66/using_a...
https://github.com/imartinez/privateGPT
-
Run ChatGPT-like LLMs on your laptop in 3 lines of code
I've been playing around with https://github.com/imartinez/privateGPT and https://github.com/simonw/llm and wanted to create a simple Python package that made it easier to run ChatGPT-like LLMs on your own machine, use them with non-public data, and integrate them into practical applications.
This resulted in Python package I call OnPrem.LLM.
In the documentation, there are examples for how to use it for information extraction, text generation, retrieval-augmented generation (i.e., chatting with documents on your computer), and text-to-code generation: https://amaiya.github.io/onprem/
Enjoy!
What are some alternatives?
xcloud-keyboard-mouse - Moved to https://github.com/ModernKit/xcloud-keyboard-mouse
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
LinkAce - LinkAce is a self-hosted archive to collect links of your favorite websites.
gpt4all - gpt4all: run open-source LLMs anywhere
hls-downloader - Web Extension for sniffing and downloading HTTP Live streams (HLS)
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
competitive-companion - Browser extension which parses competitive programming problems
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
Joplin - Joplin - the secure note taking and to-do app with synchronisation capabilities for Windows, macOS, Linux, Android and iOS.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
pihole-browser-extension - Browser extension to control your pi-hole
llama.cpp - LLM inference in C/C++