- Add Vertex AI Autoconfigurations for chat and embedding clients.
- Factor out the embeding client dimensions() computation into an abstract parent AbstractEmbeddingClient.
- Add ITs
- Vertex dos.
- Collapses all VectorStore similiaritySearch methdos into one with SearchRequest builder.
- Fix all affected code and tests.
- Bump the project version to 0.7.1.
- Add tests
- Add autoconfigurations for milvus, pinecone and pgvecor stores.
- Improve and unify the VectorStore ITs.
- Make use of TrasformersEmbeddingClient for auto-configurations ITs.
- EmbeddingClient implementation that computes, locally, sentence embeddings with SBERT transformers.
- Uses pre-trained transformer models, serialized into Open Neural Network Exchange (ONNX) format.
- Deep Java Library and the Microsoft ONNX Java Runtime are used to run
the ONNX models and compute the embeddings efficiently.
- Add default tokenizer.json and model.onnx for sentence-transformers/all-MiniLM-L6-v2.
- Add, configurable resource caching service to allow caching
remote (http/https) resources to the local FS.
- README.md provides information on how to serialize ONNX models.
- add Git LFS configuration for large onnx model files.
