Find relevant passages in documents using semantic search
Analyze PDFs and extract detailed text content
Process documents and answer queries
Extract named entities from text
Search information in uploaded PDFs
Spirit.AI
Extract named entities from medical text
Extract handwritten text from images
Ask questions about a document and get answers
Find similar text segments based on your query
中文Late Chunking Gradio服务
Upload and analyze documents for text extraction and Q&A
GOT - OCR (from : UCAS, Beijing)
Semantic Search With Retrieve And Rerank is an advanced tool designed to enhance document search capabilities by leveraging semantic understanding and AI-driven reranking. It goes beyond traditional keyword-based search by analyzing context, intent, and relevance to deliver more accurate results. This technology is particularly useful for extracting and identifying relevant passages from scanned documents or large text datasets.
• Advanced Semantic Search: Utilizes AI models to understand the meaning behind search queries and document content.
• Reranking Capabilities: Refines initial search results by reassessing relevance based on semantic similarity.
• Support for Multiple Formats: Compatible with scanned documents, PDFs, and other text-based file formats.
• Real-Time Retrieval: Quickly retrieves and processes information from large document collections.
• Customizable Reranking: Allows users to adjust search parameters for more tailored results.
1. How accurate is semantic search compared to traditional search?
Semantic search is more accurate because it understands context and intent, reducing irrelevant results.
2. What document formats does this tool support?
It supports scanned documents, PDFs, DOCX, and other text-based formats, making it versatile for various use cases.
3. Can I customize the reranking process?
Yes, users can adjust search parameters and weighting to influence how results are reranked, ensuring more relevant outcomes.