Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
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Updated
Mar 24, 2026 - Python
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Train Models Contrastively in Pytorch
🔎 SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
Open Source Text Embedding Models with OpenAI Compatible API
Embedding Inversion via Conditional Masked Diffusion: recover original text from embedding vectors using parallel denoising. Live demo + training pipeline + technical report.
Go module for fetching embeddings from embeddings providers
.NET library for local embedding generation using ONNX and Microsoft.Extensions.AI
A research toolkit for decomposing and explaining text similarity across neural, structured, and symbolic levels.
Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)
LightweightEmbeddings is a fast, free, and unlimited API service for multilingual embeddings and reranking, with support for both text and images and guaranteed uptime.
A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store
A text embedding viewer for the Jupyter environment
Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"
🌟 Stardex: Explore GitHub Stars Intelligently. Stardex is a powerful web app that lets you search, filter, and cluster any GitHub user's starred repositories. Discover hidden patterns and find your next favorite project with intelligent, AI-powered exploration.
cluster text embeddings with DBSCAN and HDBSCAN — parameter sweep, Excel export
Topic Embedding, Text Generation and Modeling using diffusion
Vectrain is a high-performance, modular, plug-and-play RAG pipeline that ingests data, generates vector embeddings, and stores them in vector databases for semantic search, recommendations, and analytics.
Flask API for generating text embeddings using OpenAI or sentence_transformers
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