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RAG engine · Knowledge Retrieval
Stark is a high-performance retrieval-augmented generation engine. Upload your documents, ask questions in plain language, and get answers grounded exclusively in your content with verifiable citations.
Capabilities
Unlike general-purpose AI, Stark only answers using the data you provide. No invented facts, no hallucinations—just grounded retrieval.
HOW IT WORKS
Queries are embedded and matched against indexed document chunks using vector similarity, finding context even without exact keyword matches.
TRUST & VERIFICATION
Stark grounds every response in retrieved context. Each answer links to the exact document and chunk it came from to prevent hallucinations.
BEYOND TEXT
PDFs, Word docs, Markdown, and images are all parsed, chunked, embedded, and indexed. The engine handles the heavy lifting of extraction.
PERFORMANCE
LLM calls run on high-performance infrastructure. Retrieval is near-instant, ensuring the round-trip typically completes in under 2 seconds.
The pipeline
Each stage is optimized for speed and accuracy: multilingual embeddings, serverless vector storage, and lightning-fast inference.
Upload
PDF / Word / MD
Embed
Multilingual vectors
Index
Pinecone serverless
Retrieve
Semantic similarity
Respond
LLM + citations