• AI ABSOLUT
  • Posts
  • 10 Best Open Source Free AI Tools: Don't Pay Again for AI

10 Best Open Source Free AI Tools: Don't Pay Again for AI

Paying is Respectable, Just Keep In Mind That It Is For Free Out There

Author

Sami Halawa
August 15, 2024

Today, I've got some cool open-source projects you can contribute in 2024. These aren't just popular projects; I've come across these during my two-year journey.

There are various ways to contribute to a project.
I've seen people only looking at the tech stack but I recommend choosing the one whose concept excites you rather than only following the tech stack.

Something that excites you will help you move forward especially when you're stuck.

I know lists can be boring because no one wants to see the list of projects and then forget about it.
So, I will also mention the use cases and then you can decide which project suits you.

You can find awesome lists at the end of the article with 300+ open source projects.

But, before contributing to any open source project, we must ensure that it is decent enough as per standards.

How to check if the open source project is good?

There is no right answer to this but every good open source project must have clear guidelines to help you on HOW you can contribute to their project (contributing.md) and a few other requirements.

Just remember, there's no specific order in this post. Every open-source project is good in its own way.

Exercism is a website where you can learn various programming languages, help others, and even get testimonials.

This is my favorite open source project due to multiple reasons.

There are various tracks, and almost every programming language is there.

The reason is everything you do such as reviewing Pull Requests, and Pull Requests created & merged is publicly shown on your profile and you even get badges for various achievements.

You can even see my profile.

As you can see everything is publicly available that will help you showcase your skills.

It's a new programming language for powerful data computing, which can work as a high-efficiency data warehouse.

Using EsProc SPL, you can run it as an analysis database or middleware, and compute tons of structured or semi-structured data for analyzing massive datasets.

People who prefer Java should definitely contribute to this project.

It has more than 4k stars on GitHub and is indeed helpful.

DEV, this very platform is built on Forem, an open source software designed to empower communities.

Why not improve this very platform, right? It has around 21k stars on GitHub.

Simple Icons provides pixel-perfect SVG of more than 2k popular brands.

They have one of the most detailed contributing guidelines. It's damn helpful.

They also have an SDK in the npm package to develop third-party extensions with JavaScript and TypeScript.

It is the first open source project that I contributed to.

If you're in the learning industry, you must have heard about FreeCodeCamp at least once.

FreeCodeCamp is a community of people from all around the world learning to code together. It is completely free and runs on a volunteering basis.

Even I've learned a lot from freecodecamp. It has 381k stars on GitHub so there is nothing to exaggerate.

It runs on a modern JavaScript stack. It has various components, tools, and libraries. These include Node.js, MongoDB, OAuth 2.0, React, Gatsby, Webpack, and more.

Appwrite's open-source platform lets you add Auth, DBs, Functions, and Storage to your product & build any application at any scale, own your data, and use your preferred coding languages and tools.

They have great contributing guidelines and even go to the trouble of explaining architecture in detail.

They have every SDK you can think of :)

Big props to the Appwrite team for their support of the open source ecosystem. They're extending the offer of Appwrite Pro to all open source teams.

One of the most impressive open source organizations, it would take me hours to explain every feature.

They aggregate valuable posts from various topics across many organizations like Hacker News, Dev, Hashnode, and many more. You can upvote, bookmark, and even create your own squad.

I contributed to Daily in my early journey, and it has more than 14k stars on GitHub.

You can even make your own public profile and build reputation as you go :)

EddieHub is one of the best communities that has helped so many people get into open source.

Biodrop is one of the open-source projects within the EddieHub community.

With Biodrop, you can collect testimonials, share a QR code of your profile, and many more amazing things.

Storybook is a frontend workshop for building UI components and pages in isolation. It helps in UI development, testing, and documentation.

They have 56k commits, 80k stars, and 400+ branches on GitHub.

They have lots of integration options.

LinksHub is a Hub of Links For Developers By Developers. Here, we've gathered a collection of all the best and most useful resources, both free and paid, to aid in the development journey.

I'm an open source maintainer of LinksHub, and I'm not biased.

I seriously believe you should contribute to this at least once.
We are still in the growing phase, but will soon reach very high.

11. FaceX

Face-X is a comprehensive repository of algorithms and operations related to facial recognition, which includes a range of functionalities from facial filters, image processing, face mask detection, and facial attendance systems to animated emotions and facial cartoonification.

You can watch this video to learn more about the project.

12. Taipy

Taipy is an open-source Python library designed for swiftly building production-ready frontend & backend solutions. You don't need to be versed in web development, making it particularly valuable for Python developers.

You can build Copilots 10X Faster With CopilotKit.

It has an AI-driven text editor, enhancing traditional elements with auto-completion and context-aware editing. Copilot Chatbot offers frontend and backend runtimes for in-app copilots, enabling indexed state, customizable UI, and function calling capabilities.

The launch of Shadcn drove people crazy, and I'm still thrilled about it.

It offers a comprehensive set of components, significantly accelerating your frontend development. The best aspect is its high level of customization and top-notch accessibility.

No installation is required; copy and paste the components you want to use.

It has more than 40k stars on GitHub and only 350 commits. HAHA!

The primary language used here is Typescript.

Docusaurus is a project for building, deploying, and maintaining open source project websites. It is a Facebook project.

Check 5-minute tutorial to understand more.

It has more than 50k stars on GitHub.

Mermaid helps to generate diagrams like flowcharts or sequence diagrams from text like markdown.

It has 64k stars on GitHub and is very useful.

One sample diagram that you can easily make.

It is one of the most fantastic and necessary ideas.

It enhances the concept of acknowledging contributors, not only those who push code but also designers, translators, reviewers, and even those handling documentation.

It is extremely simple to use.

This is one of the best resume builders out there and keeps your privacy in mind. Completely secure, customizable, portable, open-source, and free forever.

It has more than 17k stars on GitHub and is very useful.

It has some exciting features, and you can even customize several columns. Plus, they have a good user interface.

19. Blitz

The Missing Fullstack Toolkit for NextJS.

Blitz picks up where Next.js leaves off, providing battle-tested libraries and conventions for shipping and scaling worldwide applications.

RoomGPT is your personal AI interior designer.

Just upload a photo of your room to generate your dream room. The idea itself excites me, and it is built using TypeScript.

If you're keen on sponsoring this post, shoot me a message at [email protected] or hit me up on Twitter! 🚀

The open source community is very supportive. Explore it :)
Who knows who might DISCOVER you?

Drop a comment down which open source project excites you the most.

If you're still not satisfied. See this article to find the perfect open source project for you.

Check 300+ Open source projects in different categories. Updated daily ✅

Top 15 Repositories for Visual Embedding and Direct Chatting Applications in 2024

If you are interested in building applications involving visual embeddings and direct chatting capabilities, particularly those that integrate with tools like Cohere and Pinecone, here is a comprehensive list of the top 15 repositories and platforms to explore in 2024. These repositories offer various features ranging from semantic search and visual embeddings to fully operational chatbots, complete with deployment scripts and pre-built interfaces. Below, you'll find a detailed comparison and deployment guidance for each.

1. RAG_with_Chat_Embed_and_Rerank_via_Pinecone

  • Platform: GitHub

  • Description: This repository by Cohere AI demonstrates the use of Retrieval-Augmented Generation (RAG) combined with chat embeddings and reranking capabilities using Pinecone. It's a hands-on guide to building a sophisticated search and chat system.

  • Deployment: Python-based, with clear instructions to deploy locally or on cloud platforms.

  • GitHub URL: RAG with Chat Embed and Rerank

2. CopilotKit

  • Platform: GitHub

  • Description: CopilotKit enables the rapid development of AI copilots with capabilities such as text embedding and contextual chat. This toolkit offers front-end and back-end runtimes for building in-app chatbots.

  • Deployment: Deployable on both server and serverless platforms, making it flexible for various use cases.

  • GitHub URL: CopilotKit GitHub

3. SentenceTransformers

  • Platform: Hugging Face & GitHub

  • Description: This project provides easy-to-use BERT-based sentence embeddings for use in semantic search and clustering. It integrates well with various backends like Pinecone for storing and querying embeddings.

  • Deployment: Available as a Python package, easily deployable on Hugging Face Spaces or Streamlit.

  • Hugging Face URL: SentenceTransformers

4. Chroma

  • Platform: GitHub

  • Description: Chroma is an open-source embedding database designed for applications that require high-performance vector search. It integrates seamlessly with visual embedding models.

  • Deployment: Docker-based deployment, with options for cloud or local setups.

  • GitHub URL: Chroma GitHub

5. DeepAI

  • Platform: GitHub & DeepAI Website

  • Description: DeepAI offers various AI models, including text-to-image and embedding-based search. The repository includes sample scripts for embedding visual data and querying against it.

  • Deployment: Available as a REST API; examples include deploying on AWS Lambda or Google Cloud Functions.

  • GitHub URL: DeepAI GitHub

6. Milvus

  • Platform: GitHub

  • Description: Milvus is an open-source vector database designed to manage, index, and search embedding vectors generated by AI models.

  • Deployment: Docker-based setup with Kubernetes support for scaling.

  • GitHub URL: Milvus GitHub

7. LangChain

  • Platform: GitHub

  • Description: LangChain is an open-source framework for developing applications powered by language models, offering easy integration with vector databases for search and chat.

  • Deployment: Python-based, with clear deployment documentation for cloud services.

  • GitHub URL: LangChain GitHub

8. VoyageAI

  • Platform: Pinecone Docs

  • Description: VoyageAI is a suite of AI-powered tools for semantic search, including visual embeddings and NLP tasks.

  • Deployment: Available via Pinecone, with integration scripts provided for embedding and search functionalities.

  • Pinecone Docs URL: VoyageAI

9. Clip-as-Service

  • Platform: GitHub & Jina AI

  • Description: A flexible and scalable inference service for CLIP embeddings, useful for text-to-image retrieval and chat interfaces.

  • Deployment: Docker-compose or Kubernetes deployments are available.

  • GitHub URL: Clip-as-Service

10. Qdrant

  • Platform: GitHub

  • Description: Qdrant is an open-source vector database optimized for neural search. It supports visual embeddings and offers a simple REST API.

  • Deployment: Docker-based, with options for both local and cloud environments.

  • GitHub URL: Qdrant GitHub

11. OctoAI

  • Platform: GitHub & Pinecone Docs

  • Description: OctoAI integrates with Pinecone for managing embeddings and performing high-speed queries for chat and search applications.

  • Deployment: Available through Pinecone, with sample apps and deployment scripts.

  • Pinecone Docs URL: OctoAI

12. Streamlit-Chatbot

  • Platform: GitHub & Streamlit

  • Description: This repository provides a Streamlit-based chatbot that integrates Cohere embeddings and Pinecone for fast, interactive search and chat.

  • Deployment: Easily deployable on Streamlit Community Cloud.

  • GitHub URL: Streamlit-Chatbot

13. Jina

  • Platform: GitHub

  • Description: Jina offers tools for building multimodal search and retrieval applications. It includes support for visual embeddings and scalable search.

  • Deployment: Kubernetes and Docker-based deployments, with extensive documentation.

  • GitHub URL: Jina GitHub

  • Platform: Cohere Docs & GitHub

  • Description: Cohere’s official semantic search tutorial demonstrates using their embedding models with Pinecone to build a powerful search engine.

  • Deployment: Python-based, deployable on cloud platforms like AWS.

  • Cohere Docs URL: Cohere Semantic Search

15. Faiss

  • Platform: GitHub

  • Description: Faiss is a library developed by Facebook AI Research that allows for efficient similarity search and clustering of dense vectors, useful for large-scale visual embedding tasks.

  • Deployment: Python library with deployment scripts for GPU-accelerated environments.

  • GitHub URL: Faiss GitHub

Conclusion

These repositories offer a diverse range of tools and functionalities, enabling developers to build robust visual embedding and direct chatting applications. Each project has been carefully selected based on its relevance, ease of use, and support for deployment. Whether you are looking to develop a simple chatbot or a complex visual search engine, these resources will provide a solid foundation to get started.

For each tool, ensure you explore the official documentation and repositories to understand the deployment process and integrate them effectively into your projects.