Build a RAG Pipeline From Scratch Without a Framework

1. 1Parse input data using Python's built-in string manipulation functions
2. 2Chunk the parsed data into smaller, manageable pieces
3. 3Embed the chunked data using techniques such as word embeddings
4. 4Retrieve relevant information from the embedded data
5. 5Answer questions based on the retrieved information using simple inference techniques

Data scientists and machine learning engineers can benefit from understanding how to build a RAG pipeline without relying on external frameworks, allowing for more flexibility and customization in their projects

💡 You can build a basic RAG pipeline using only the Python standard library, without relying on external frameworks or databases

🚀 Build a RAG pipeline from scratch in 200 lines of Python! 🤯 No frameworks needed! 💻