dt
khoj
| dt | khoj | |
|---|---|---|
| 2 | 50 | |
| 401 | 4,858 | |
| 1.0% | 4.2% | |
| 8.8 | 9.9 | |
| 4 months ago | 6 days ago | |
| Zig | Python | |
| BSD 3-clause "New" or "Revised" License | GNU Affero General Public License v3.0 |
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dt
- FLaNK Stack Weekly for 17 July 2023
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dt: duct tape for your unix pipes
Repository: https://github.com/booniepepper/dt
khoj
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Show HN: I made an app to use local AI as daily driver
There are already several RAG chat open source solutions available. Two that immediately come to mind are:
Danswer
https://github.com/danswer-ai/danswer
Khoj
https://github.com/khoj-ai/khoj
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
I'm a fan of Khoj. Been using it for months. https://github.com/khoj-ai/khoj
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You probably don’t need to fine-tune LLMs
https://github.com/khoj-ai/khoj
This is the easiest I found, on here too.
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Show HN: Khoj – Chat Offline with Your Second Brain Using Llama 2
Thanks for the feedback. Does your machine have a GPU? 32GB CPU RAM should be enough but GPU speeds up response time.
We have fixes for the seg fault[1] and improvement to the query speed[2] that should be released by end of day today[3].
Update khoj to version 0.10.1 with pip install --upgrade khoj-assistant to see if that improves your experience.
The number of documents/pages/entries doesn't scale memory utilization as quickly and doesn't affect the search, chat response time as much
[1]: The seg fault would occur when folks sent multiple chat queries at the same time. A lock and some UX improvements fixed that
[2]: The query time improvements are done by increasing batch size, to trade-off increased memory utilization for more speed
[3]: The relevant pull request for reference: https://github.com/khoj-ai/khoj/pull/393
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A Review: Using Llama 2 to Chat with Notes on Consumer Hardware
We recently integrated Llama 2 into Khoj. I wanted to share a short real-world evaluation of using Llama 2 for the chat with docs use-cases and hear which models have worked best for you all. The standard benchmarks (ARC, HellaSwag, MMLU etc.) are not tuned for evaluating this
- FLaNK Stack Weekly for 17 July 2023
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An open source AI search + chat assistant for your Notion workspace
Self-host your Notion assistant using the instructions here. You'll need Python >= 3.8 to get started.
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When will we get JARVIS?
Here's an early example: https://github.com/khoj-ai/khoj
What are some alternatives?
danswer - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
obsidian-smart-connections - Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
plate - The rich-text editor for React.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
pekko-samples - Apache Pekko Sample Projects
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
video2dataset - Easily create large video dataset from video urls
llama-cpp-python - Python bindings for llama.cpp
heimdall - Dashboard for operating Flink jobs and deployments.
obsidian-ava - Quickly format your notes with ChatGPT in Obsidian
free-music-demixer - free website for client-side music demixing with Demucs + WebAssembly
logseq-plugin-gpt3-openai - A plugin for GPT-3 AI assisted note taking in Logseq