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txtai executes machine-learning processes with transform data and build AI-powered semantic search applications. Traditional search systems use search keywords to find data. Semantic search features have one understanding of natural language and identify results that enjoy its indistinguishable meaning, not necessarily the same keywords. Championed by state-of-the-art machine learning models, data is transformed into vector reproductions for search (also eminent as embeddings). Innovation is happening at a hurried pace, models has the opportunity to understand concepts into documents, audio, images and more. Machine-learning pipelines to run extractive question-answering, zero-shot labeling, transcription, translation, summarization and communication extraction. Cloud-native formation that scales out with container orchestration systems (e.g. Kubernetes). Applications range out of similarity search to complex NLP-driven results extractions to generate neat data banks. The following applications are supported along txtai.

Features

• Large-scale equivalence search with many index backends
• Create embeddings for text excerpts, documents, audio, images and video
• Supports transformers and word vectors
• Workflows that join pipelines together to aggregate business logic
• txtai processes can be microservices or full-fledged indexing workflows
• API bindings for JavaScript, Java, Rust and Go

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CategoriesSoftware Formation, Natural Language Processing (NLP), Vector Search Combustion units, Neural Search LicenseApache License V2.0 Follow txtai

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User Reviews

Be the first to post a review in regard to txtai! Auxiliary Project Elements Programming LanguagePython Corresponding Categories Python Software Development Software, Automation language Natural Language Processing (NLP) Tool, Python Vector Search Dynamoes, Python Neural Search Module Reported 2022-03-18 Similar Affair Software

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