EmbeddingGemma 2 Typed Decisions
mrm8488 · Kit
A 272M model, fine-tuned from EmbeddingGemma 2, that reads the state of a workflow and a schema of questions and returns a typed answer with a calibrated confi…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
mrm8488 · Kit
A 272M model, fine-tuned from EmbeddingGemma 2, that reads the state of a workflow and a schema of questions and returns a typed answer with a calibrated confi…
MongoDB · Kit
Multilingual text embedding model of 346M parameters from the Voyage 4 series, for semantic search and retrieval, with flexible vector sizes. For developers bu…
nomic-ai · Kit
Turns English text into embedding vectors for search, clustering and classification, and the vectors can be cut to a smaller size. It suits developers building…
Qwen · Kit
Turns text and code in over 100 languages into vectors for search, retrieval, classification and clustering, with adjustable vector size and task instructions,…
microsoft · Kit
Turns text in many languages into number vectors for search, clustering and similarity matching, a 0.6B embedding model from Microsoft for developers building…
litert-community · Kit
The 740M multimodal EmbeddingGemma 2 packaged for on-device use with LiteRT-LM. It maps text, code, images, video and audio into one shared 768-dimensional vec…
MineAITechnology · Kit
Scores how close two short English texts are in meaning with a small 57.8M embedding model trained from scratch, an early experiment for people who study or ba…
laion · Kit
A 340M-parameter audio-text model from LAION that places sounds and English text in one embedding space, for zero-shot audio classification, audio-text search…
unsloth · Kit
Turns text into 768-dimensional vectors for on-device search, retrieval and clustering. The base model also covers images, video and audio. Packaged as GGUF by…
Qwen · Kit
Turns text into vectors for search, code retrieval, classification and clustering, in over 100 languages. The 8B model in Qwen's embedding family, with adjusta…
gradium · Kit
Provides 102 ready-made voices for the Phonon S text-to-speech model across English, French, German, Spanish and Portuguese, each as a small embedding file you…
Cactus-Compute · Kit
A small on-device model from Cactus Compute for tool calling, structured extraction and text embeddings, used through the cactus Python package. For developers…
Qwen · Kit
Turns text into number vectors for search, retrieval, classification and clustering, in over 100 languages including code. The smallest, 0.6B-parameter text em…
Cactus-Compute · Kit
Transcribes speech in seven languages with word timestamps and speech embeddings, in a model only 16.9 MB in size. Runs from a short Python script, for develop…
google · Kit
Google DeepMind's open embedding model that places text, code, images, video and audio in one 768 number vector space, built to run on laptops and phones. Suit…
webml-community · Kit
A browser page that plots text embeddings in a 3D view, using the EmbeddingGemma model in ONNX form. For developers and learners who want to see how embeddings…
Caspivs · Kit
Ranks documents, compares sentences across languages and searches your own images by text, all inside your browser so nothing you type or upload leaves your de…
An n8n workflow that watches a Notion database for new pages. It reads each page, cuts the text into chunks, turns the chunks into vectors with an OpenAI embed…
An n8n workflow that watches a Notion database for new pages. It reads each page, cuts the text into chunks, turns the chunks into vectors with a Gemini embedd…
An n8n workflow that answers questions about the GitHub REST API. It downloads GitHub’s OpenAPI description, stores it in Pinecone as OpenAI embeddings, and le…