You don’t need to spend a fortune to build an AI application. The best AI developer tools are open-source and an excellent ecosystem is evolving that can make AI accessible to everyone.
The key components of this open-source AI stack are as follows:
1 – Frontend
To build beautiful AI UIs, frameworks like NextJS and Streamlit are extremely useful. Also, Vercel can help with deployment.
2 – Embeddings and RAG libraries
Embedding models and RAG libraries like Nomic, JinaAI, Cognito, and LLMAware help developers build accurate search and RAG features.
3 – Backend and Model Access
For backend development, developers can rely on frameworks like FastAPI, Langchain, and Netflix Metaflow. Options like Ollama and Huggingface are available for model access.
4 – Data and Retrieval
For data storage and retrieval, several options like Postgres, Milvus, Weaviate, PGVector, and FAISS are available.
5 – Large-Language Models
Based on performance benchmarks, open-source models like Llama, Mistral, Qwen, Phi, and Gemma are great alternatives to proprietary LLMs like GPT and Claude.
