khoj
swirl-search
khoj | swirl-search | |
---|---|---|
50 | 32 | |
4,858 | 1,519 | |
2.8% | 2.8% | |
9.9 | 9.8 | |
about 9 hours ago | 5 days ago | |
Python | Python | |
GNU Affero General Public License v3.0 | 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.
khoj
-
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
-
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
-
You probably don’t need to fine-tune LLMs
https://github.com/khoj-ai/khoj
This is the easiest I found, on here too.
-
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
-
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
-
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.
-
When will we get JARVIS?
Here's an early example: https://github.com/khoj-ai/khoj
swirl-search
- GitHub - swirlai/swirl-search: Swirl is an open-source search platform that uses AI to search multiple content and data sources simultaneously, finds the best results using a reader LLM, then prompts Generative AI, enabling you to get answers based on your data.
-
Swirl Security Overview
Understanding an Open Source Search Platform: Swirl
-
Swirl Search: Open Source Enterprise Search 🔍 to Securely 🔐 Search your Data.
Give ⭐ to Swirl on GitHub
-
These 5 Open Source AI Startups are changing the AI Landscape
Star Swirl on GitHub and become part of this exciting AI search evolution! 🌟
-
[Python 🐍 Mastery] Overview of Linked List in Python & Essential Linked List Operations 🛠️
Swirl is an open-source Python project. Contributing to Swirl can help you gain production-level knowledge of Python and improve your skills.
-
[Python 🐍 Mastery] Python's Object-Oriented Programming Overview and Fundamentals ⭐️
Note: This is not how you write a search engine. There's a lot more stuff that goes into it. If you want to know more, check this GitHub Repository:github.com/swirlai/swirl-search
-
Contribute to Swirl this Hacktoberfest. Win Swags up to $100
Give Swirl a Star 🌟 on GitHub. To receive updates from discussions and releases. Click on the image
-
Running Swirl Search🌌in an instant on Gitpod🌐💻and GitHub Codespaces🌩️🚀
Swirl is an open-source search engine which is built using Python and Django. Things which makes Swirl more special is that individual developers and organizations can use Swirl without paying single penny and even customize the search results by connecting to Database (E.g. SQL, NoSQL), Public Data Services (E.g. Google) and Enterprise Sources (E.g. Jira). GitHub Link: https://github.com/swirlai/swirl-search
-
Your full guide to contributing to SWIRL 🌌
Hello Devs, The team at Swirl has created this amazing guide which contains all the relevant information for anyone who wants to extend Swirl by adding SearchProviders, Connectors, and Processors.
-
7 Open-Source Search Engines for your Enterprise and Startups you MUST know.
Swirl is an open-source search platform software that simultaneously searches multiple content sources and returns AI-ranked results. You can also use Generative AI Models to get answers based on your data. It’s written in Python.
What are some alternatives?
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
solr - Apache Solr open-source search software
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
llama-cpp-python - Python bindings for llama.cpp
lambdapi - Serverless runtime environment tailored for code produced by LLMs. Automatic API generation from your code, support for multiple programming languages, and integrated file and database storage solutions.
obsidian-ava - Quickly format your notes with ChatGPT in Obsidian
distilabel - ⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.
logseq-plugin-gpt3-openai - A plugin for GPT-3 AI assisted note taking in Logseq
swirl-search - Swirl queries anything with an API then uses spaCy & NLTK to re-rank the unified results without copying any data! Includes zero-code configs for Apache Solr, ChatGPT, Elastic Search, OpenSearch, PostgreSQL, Google BigQuery, RequestsGet, Google PSE, NLResearch.com, Miro, Microsoft 365, Atlassian, YouTrack, GitHub & more! [Moved to: https://github.com/swirlai/swirl-search]