No visual example yet
Explore the skillMlx Embeddings
Blaizzy
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
OPENAGENTSKILL / DIRECTORY
次のタスクに合うスキルを。Codex、Claude Code、Cursor などのツールを探せます。
12 Skills
検索結果: 12
No visual example yet
Explore the skillBlaizzy
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
No visual example yet
Explore the skillveniceai
Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip/br), and practi…
No visual example yet
Explore the skillramanujammv1988
On-device AI SDK for Flutter — LLM inference, vision, STT, TTS, image generation, embeddings, RAG, and function calling. Metal GPU on iOS/macOS.
No visual example yet
Explore the skillAnush008
Rust library for generating vector embeddings, reranking locally!
No visual example yet
Explore the skillapocas
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics et…
No visual example yet
Explore the skillSeanLee97
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
No visual example yet
Explore the skillllm-tools
A NodeJS RAG framework to easily work with LLMs and embeddings
No visual example yet
Explore the skillswarmauri
Modular Python SDK and monorepo for AI agents, LLM integrations, tools, parsers, embeddings, vector stores, and extensible application workflows.
No visual example yet
Explore the skillpguso
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
No visual example yet
Explore the skillitsmostafa
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or impleme…
No visual example yet
Explore the skillvasilyu1983
Chooses among AI/ML approaches: classical ML, LLM, RAG, fine-tuning, agents, multimodal, embeddings/recsys, dense/MoE/SSM/diffusion. Use when picking or scaling an archi…
No visual example yet
Explore the skilldvcdsys
Self-hosted semantic code search platform — Go server with web dashboard, CLI, and AI-agent skills. Search code by meaning, not text: hybrid BM25 + dense embeddings via…