RAG Vectorizer

See how text is converted into vectors for Retrieval-Augmented Generation. Understand embeddings and semantic search in real-time.

ℹVisualization Only: The vectors, similarity scores, and retrieval results shown here are for demonstration purposes. Actual results depend on real embedding models like OpenAI Embeddings, Sentence Transformers, or other production models.

RAG Vector Embeddings

Visualize how text is chunked, vectorized, stored, and retrieved using semantic similarity

478 chars • 76 words

Quick Examples:

Chunking Strategies

Select how text should be split for vectorization

Generated Chunks (0)