Locate specific content within a document by entering a document ID and search query. Retrieve formatted results with relevant context for efficient document analysis.
Retrieve relevant document chunks by searching with keyword arrays using the BM25 algorithm. Specify domains and limit results for precise knowledge extraction.
A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.
A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.
Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.