spaCy
spaCy is an industrial-strength NLP library in Python that provides advanced tools for generating word, sentence, and document embeddings. These embeddings are commonly stored and searched in vector databases for NLP and semantic search applications.
About this tool
spaCy
spaCy is an open-source, industrial-strength Natural Language Processing (NLP) library for Python. It is designed for building real-world products and performing large-scale information extraction tasks efficiently.
Features
- Support for 75+ languages
- 84 trained pipelines for 25 languages
- Multi-task learning with pretrained transformers (e.g., BERT)
- Pretrained word vectors
- Linguistically-motivated tokenization
- Components for:
- Named Entity Recognition (NER)
- Part-of-Speech (POS) tagging
- Dependency parsing
- Sentence segmentation
- Text classification
- Lemmatization
- Morphological analysis
- Entity linking
- Span categorization
- Extensible with custom components and attributes
- Support for custom models in PyTorch, TensorFlow, and other frameworks
- Built-in visualizers for syntax and NER
- Easy model packaging, deployment, and workflow management
- Production-ready training system
- Robust and rigorously evaluated accuracy
- State-of-the-art speed
- Large Language Model (LLM) Integration:
- The
spacy-llmpackage for integrating LLMs into NLP pipelines - Modular system for prototyping and prompting
- Structured outputs from unstructured LLM responses, no training data required
- The
- Reproducible training for custom pipelines
- Comprehensive configuration system for training runs
- Easily rerun and track experiments
- End-to-end workflows:
- Project system for managing data transformation, preprocessing, and training steps
- Source asset download, command execution, checksum verification, and caching
- Benchmarks:
- Transformer-based pipelines with state-of-the-art accuracy
- Multiple pre-trained pipelines with published accuracy metrics on datasets like OntoNotes 5.0 and CoNLL-2003
- Ecosystem:
- Wide variety of plugins and integrations
- Community resources, online course, and interactive learning tools
Pricing
spaCy is open-source and free to use.
Tags
python vector-embeddings nlp open-source
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