Superlinked

A fast C++/Python library for Hierarchical Navigable Small World (HNSW) graph-based vector search, offering high performance for dense vector retrieval with incremental insert support.

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.

Jina AI's data type library for multi-modal data handling, providing Document types for images, text, audio, and embeddings with built-in serialization and transport capabilities.

The Natural Language Toolkit (NLTK) is a leading Python platform for building programs to work with human language data. It provides easy-to-use interfaces to lexical resources like WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.

Library built on Sentence Transformers for flexible training, inference, and retrieval with state-of-the-art ColBERT models. Features FastPLAID index for efficient multi-vector late interaction retrieval with 10x storage compression and sub-200ms latency.