RAG Playground
Using a Decoupled Python AI Backend.
Backend URL (NEXT_PUBLIC_PYTHON_BACKEND_URL) is not configured!
1. Dataset & Vectorization (for RAG)
Upload your custom dataset (.txt or .json files)
Choose Embedding Model (for RAG)
all-MiniLM-L6-v2 (Sentence Transformer)
msmarco-distilbert-base-tas-b (Sentence Transformer)
Upload & Vectorize Dataset
2. Query LLM
Choose LLM
GPT-3.5 Turbo (OpenAI)
GPT-4 (OpenAI)
Zephyr-7B-beta (Hugging Face)
Mistral-7B-Instruct (Hugging Face)
Enter your prompt
Get Answers (RAG & Original)