💡 What's new in txtai 4.0

• txtai

  356 7,033 9.3 Python

  💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

  

txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.

• transformers

  178 125,741 10.0 Python

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  

txtai supports generating vectors with Hugging Face Transformers, PyTorch, ONNX and Word Vector models.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Pytorch

  341 78,205 10.0 Python

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  

txtai supports generating vectors with Hugging Face Transformers, PyTorch, ONNX and Word Vector models.

• onnxruntime

  54 12,804 10.0 C++

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  

txtai supports generating vectors with Hugging Face Transformers, PyTorch, ONNX and Word Vector models.

• magnitude

  1 12 10.0 Python

  Magnitude fork that only supports Word2Vec, GloVe and fastText embeddings (by neuml)

  

txtai supports generating vectors with Hugging Face Transformers, PyTorch, ONNX and Word Vector models.

• spaCy

  107 28,789 9.2 Python

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  

The next example uses spaCy to build vectors and then loads them into txtai. The vectors with this model are much faster to generate at the expense of accuracy.

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