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Vector Search & Embeddings Playground

Interactive demonstration of semantic search, document similarity, and RAG retrieval mechanisms. Experience how modern AI systems understand and match content using vector embeddings.

Semantic Search
Find documents based on meaning rather than exact keyword matches
Document Similarity
Compare documents and find the most semantically similar content
RAG Retrieval
Demonstrate retrieval-augmented generation with context ranking
0.7

Search Results

Processing embeddings...
Enter a search query above to see semantic search results

Document Library

Sample documents indexed with embeddings. Click to select for similarity comparison.