NeuralSearch
Enterprise documents buried across silos become instantly discoverable with semantic search powered by sentence transformers and vector similarity — handling millions of documents at sub-second latency.
EmbeddingsVector DBPythonFastAPITypeScript
NeuralSearch
A semantic search engine that transforms how enterprises find information. Documents are embedded using fine-tuned sentence transformers and indexed in a vector database for real-time similarity retrieval. The FastAPI backend handles ingestion pipelines for PDFs, Slack threads, and Confluence pages, while the TypeScript frontend delivers a search experience that understands intent — not just keywords.