Semantic Explorer - Explore your datasets!
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Semantic Explorer is a distributed platform for document processing, vector embedding generation, interactive visualization, and semantic search with RAG-enabled chat capabilities. Built as a microservices architecture, it enables organizations to ingest documents from multiple formats, extract and chunk text content, generate vector embeddings using local or cloud-based models, create interactive visualizations using UMAP dimensionality reduction with HDBSCAN clustering, perform semantic search across embedded datasets, and chat with documents via Retrieval-Augmented Generation. The platform uses a message-driven architecture with NATS JetStream for job orchestration, PostgreSQL for metadata, Qdrant for vector storage, and supports local or cloud-based embedding and LLM providers.
