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An embedding function implementation within the ChromaDB Java client (tech.amikos.chromadb.embeddings.hf.HuggingFaceEmbeddingFunction) that utilizes Hugging Face's cloud-based inference API to generate vector embeddings for documents.
A server that provides text embeddings, serving as a backend for embedding functions used with vector databases.
A utility class from the Hugging Face Transformers library that automatically loads the correct tokenizer for a given pre-trained model. It is crucial for consistent text preprocessing and tokenization, a vital step before generating embeddings for vector database storage.
A Python library for creating sentence, text, and image embeddings, enabling the conversion of text into high-dimensional numerical vectors that capture semantic meaning. It is essential for tasks like semantic search and Retrieval Augmented Generation (RAG), which often leverage vector databases.
A Python library for generating high-quality sentence, text, and image embeddings. It simplifies the process of converting text into dense vector representations, which are fundamental for similarity search and storage in vector databases.
A library from Hugging Face providing fast and customizable tokenization, a fundamental step for preparing text data for embedding models used with vector databases.
Hugging Face Sentence Transformers Embedding Function for ChromaDB Java ClientThis item describes an embedding function designed for the ChromaDB Java client. It specifically implements tech.amikos.chromadb.embeddings.hf.HuggingFaceEmbeddingFunction to provide vector embedding capabilities.### Features* ChromaDB Java Client Integration: Provides an embedding function (tech.amikos.chromadb.embeddings.hf.HuggingFaceEmbeddingFunction) for seamless use within the ChromaDB Java client.* Hugging Face Inference API Utilization: Leverages Hugging Face's cloud-based inference API for generating embeddings.* Vector Embedding Generation: Capable of generating vector embeddings for documents.### PricingPricing information is not available.