Generate, store, and search vector embeddings with provider selection, chunking strategies, and similarity search optimization.

Indexed by skills.sh from ruvnet/ruflo

Embeddings with nomic-embed-text, mxbai-embed, and snowflake-arctic-embed across your device fleet. Fleet-routed via Ollama for RAG, semantic search, and vec...

Generate text embeddings via AIMLAPI. Use for semantic search, clustering, or high-dimensional text representations with text-embedding-3-large and other mod...

Create a 3-tier memory directory structure (HOT/WARM/COLD) for OpenClaw agents and configure the built-in memory-core plugin to use Google Gemini Embeddings...

Configure OpenClaw memory search to use Ollama as the embeddings server (OpenAI-compatible /v1/embeddings) instead of the built-in node-llama-cpp local GGUF loading. Includes interactive model selection and optional import of an existing local embedding GGUF into Ollama.

Use Zhipu (智谱) web embeddings API for embeddingsing the internet. Use when user asks for web embeddings, latest news, or needs current information.

Indexed by skills.sh from jezweb/claude-skills

Indexed by skills.sh from yoanbernabeu/grepai-skills

Indexed by skills.sh from yoanbernabeu/grepai-skills

Indexed by skills.sh from yoanbernabeu/grepai-skills

Apple Silicon AI — run LLMs, image generation, speech-to-text, and embeddings on Mac Studio, Mac Mini, MacBook Pro, and Mac Pro. Turn your Apple Silicon devi...

Graph-RAG memory system using Graphiti temporal knowledge graph + FalkorDB + local Ollama embeddings. Provides persistent, queryable long-term memory for Ope...

Semantic search over video files using Gemini embeddings. Index dashcam, security camera, or any mp4 footage, then search with natural language queries to fi...

Ollama multimodal model router for Llama, Qwen, DeepSeek, Phi, and Mistral — plus mflux image generation, speech-to-text, and embeddings. Self-hosted Ollama...

Persistent memory plugin for OpenClaw agents. Hybrid SQLite FTS5 keyword + Ollama vector semantic search with auto-capture, auto-recall, stuck-detection, and...

A fully local machine learning engine that makes your OpenClaw agent smart over time — without ever calling home, revealing your machine ID, or exposing any...

Operate Milvus vector database with pymilvus — collections, vector search, hybrid search, indexes, RBAC, partitions, and more via Python code.

Graph-native memory engine for AI agents — hybrid vector+keyword search, biological decay, Zettelkasten linking, trust-gated conflict resolution, explainabil...

Ollama Ollama Herd — multimodal Ollama model router that herds your Ollama LLMs into one smart Ollama endpoint. Route Ollama Llama, Qwen, DeepSeek, Phi, Mist...

Advanced Qdrant vector database operations for AI agents. Semantic search, contextual document ingestion with chunking, collection management, snapshots, and...

Quantum-enhanced long-term memory for AI agents — #1 on LongMemEval (98.6% R@5, 99.4% R@10, 0.9426 NDCG). Chunked gte-large retrieval with QAOA+CVaR subgraph...

Build, optimize, and operate production-ready Retrieval-Augmented Generation systems with best practices in architecture, chunking, embedding, retrieval, eva...

Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.

Embedding database for RAG and semantic search.

Vector search engine for production RAG systems.

27-tool AI compute agent — LLM inference, image generation, video generation, text-to-speech, speech-to-text, embeddings, GPU inference, Bittensor decentrali...

Provide long-term memory persistence for AI agents with SQLite-backed storage, structured metadata, vector embeddings, semantic retrieval, lifecycle manageme...

Searches, stores, and manages agent memory across 4 sources (fact store, vector embeddings, BM25, knowledge graph). Runs 100% local via Ollama — no API keys,...

Provides semantic vector search over Aister's memory using PostgreSQL and e5-large-v2 embeddings to find related content by meaning in Russian and English.

Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as `qwen3-vl-embedding` for image, video, and text retrieval, cross-mod...

Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vector...

Decentralized AI inference via Bittensor SN64 (43+ chat models) and SN19 (image gen) plus embeddings — OpenAI-compatible, paid in USDC on Base/Solana via Spraay x402. No Bittensor wallet needed. Censorship-resistant, keyless.

Vector memory engine with PostgreSQL + pgvector + OpenAI embeddings. Stores, searches, and injects contextual memories into LLM prompts. Includes auto-inject...

Local semantic message routing for multi-agent systems. Routes messages to the correct agent based on embeddings + keyword + context scoring. No external API...

Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.

Ingest Taiwan civil court judgments (HTML or PDF) — exclusively covering Taiwan civil cases — into Qdrant with Ollama embeddings, preserving traceability, de...

Provides a high-performance unified memory combining file-based OpenClaw storage with semantic vector search using local Ollama embeddings for fast, private...

Offload GPU-intensive ML tasks (BERTScore, embeddings) to one or multiple remote GPU machines

Generate GPT API request payloads. Use when building chat completions, embeddings, fine-tuning data, or estimating API costs.

Home lab AI — turn your spare machines into a local AI home lab cluster. LLM inference, image generation, speech-to-text, and embeddings across macOS, Linux,...

Design and build a hybrid retrieval system combining BM25 keyword search, vector embeddings, and knowledge graph traversal for AI agent memory. Use when buil...

Compare your AI inference costs across providers and test cheaper alternatives with real data. Analyze what you spend on LLM, embeddings, image generation, T...

Local RAG memory system for AI agents using ChromaDB and SkillBoss API Hub embeddings, enabling context recall, continuous learning, and multi-agent shared m...

Run and integrate LM Studio with local model lifecycle control, OpenAI-compatible APIs, embeddings, and MCP-aware workflows.

LightRAG-based semantic memory system for AI agents. Provides efficient long-term knowledge storage and retrieval using vector embeddings and knowledge graph...

LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applica llm-chain, java, anthropic, chatgpt, chroma, embeddings.

Semantic search over local files using all-MiniLM-L6-v2 embeddings and ms-marco-MiniLM-L-6-v2 cross-encoder reranking with ChromaDB and parent-child chunking...

Store, search, and manage local vector memories using Ollama embeddings with Qdrant, supporting Chinese and English text without cloud dependencies.

Implements semantic search using local vector embeddings for knowledge base indexing and similarity matching. Use when you need to search documents by meanin...

MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, tool calling, LoRA fine-tuning, and embeddings.

Mac Mini AI — run LLMs, image generation, speech-to-text, and embeddings on your Mac Mini. M4 (16-32GB) and M4 Pro (24-64GB) configurations make the Mac Mini...

Mac Studio AI — run LLMs, image generation, speech-to-text, and embeddings on your Mac Studio. M2 Ultra (192GB), M3 Ultra (512GB), M4 Max (128GB), and M4 Ult...

Memories.ai V2 API for video intelligence - transcripts, embeddings, AI analysis, and video operations. Use when working with video transcription, video embe...

Long-term memory for OpenClaw agents — SQLite hybrid recall (FTS5 + keyword + associative expansion + optional LLM embeddings), raw/curated anchors, session...

Integrates ChromaDB with Ollama embeddings for long-term memory and auto-recalls relevant context to enhance conversations.

Operate the Memphis local-first brain: init/status checks, journaling, recall/ask, embeddings, vault, share-sync, graphs, reflections, ingestion, automated m...

MLX-powered local AI — run LLMs, Stable Diffusion, speech-to-text, and embeddings natively on Apple Silicon via MLX. Ollama uses MLX for LLM inference, mflux...

Unified interface to 42+ NVIDIA NIM API models — LLM chat, vision, embeddings, image generation, with price comparison and model recommendation.

Performs semantic security analysis and stress testing of AI agents using vector embeddings and multi-node defense strategies.

Automates Sovereign Local Vector Memory and Gemma-300M Embeddings. Manage local vector embeddings, model configuration, and memory health monitoring without...

Semantic knowledge base allowing ingest, search, and retrieval of saved texts, URLs, and files using embeddings and SQLite.

Semantic search for Obsidian notes using AI vector embeddings. Find notes by meaning, discover connections, filter by tags/dates/folders, and retrieve full c...

Semantic search across your Obsidian vaults using local embeddings (Ollama + pgvector). 10 MCP tools: hybrid/semantic/keyword search, file CRUD, batch reads,...

Run, tune, and troubleshoot local Ollama models with reliable API patterns, Modelfiles, embeddings, and hardware-aware deployment workflows.

Manage and use local Ollama models. Use for model management (list/pull/remove), chat/completions, embeddings, and tool-use with local LLMs. Covers OpenClaw sub-agent integration and model selection guidance.

Set up, diagnose, repair, and quality-test private local OpenClaw semantic memory search using Ollama embeddings. Use when memory_search is disabled, node-ll...

Core utilities for OpenClaw memory plugins (redaction, local store, embeddings).

Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).

Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).

Local semantic memory with vector search and Transformers.js. Store, search, and recall conversation context using embeddings (fully local, no API keys).

Lightweight agent productivity toolkit: semantic code search with embeddings and a categorized prompt library. Two services, ~200MB RAM, zero cloud dependenc...

Private AI — run LLMs, image generation, speech-to-text, and embeddings on your own hardware. Private AI keeps all data on your network. No cloud APIs, no te...

Choose RouterBase model IDs and routing strategies for chat, image, video, audio, and embeddings workloads. Use when comparing providers, selecting GPT, Clau...

Self-hosted AI — run your own LLM inference, image generation, speech-to-text, and embeddings. No cloud APIs, no SaaS subscriptions, no data leaving your net...

Offline local semantic code search using embeddings to find and index code by meaning with llama.cpp, ONNX, or Ollama backends.

Automatically inject relevant skills and protocols into agent context using local embeddings. Free, no API calls — uses Ollama with nomic-embed-text.

Pay-per-call GPU rental and AI inference (LLM, image, video, TTS, STT, embeddings) via Spraay x402 gateway. USDC micropayments on Base/Solana. Prepaid compute-futures with bulk discounts up to 15%. Keyless, agent-native — no API keys, no signup.

Connect to Supabase for database operations, vector search, and storage. Use for storing data, running SQL queries, similarity search with pgvector, and managing tables. Triggers on requests involving databases, vector stores, embeddings, or Supabase specifically.

Semantic search and Q&A over workspace files using Telnyx Storage + AI embeddings. Index your memory, knowledge, and skills for natural language retrieval and AI-powered answers.

Pick TokenLab models for chat, coding, image, video, audio, embeddings, reranking, and translation by reading public model catalog signals before recommendin...

Use TokenLab native endpoint families such as Responses, Anthropic Messages, Gemini generateContent, media, audio, embeddings, and translations when OpenAI-c...

Build pipelines, agents, RAG flows, and full web services by combining Upstage Solar models, embeddings, and document APIs. Use when building, scaffolding, o...

Vector database operations toolkit for AI/RAG applications. Supports Qdrant, Chroma, and in-memory vector stores. Use when working with embeddings, semantic...

Complete Venice AI API toolkit - image generation, video, audio, embeddings, transcription, characters, models, and admin functions. Privacy-focused inferenc...

Complete Venice AI platform — text generation, vision/image analysis, web search, X/Twitter search, embeddings, TTS, speech-to-text, image generation, backgr...

Voyage AI embedding and reranking CLI integrated with MongoDB Atlas Vector Search. Use for: generating text embeddings, reranking search results, storing embeddings in Atlas, performing vector similarity search, creating vector search indexes, listing available models, compari…

Windows AI — run local AI on Windows with LLM inference, image generation, and embeddings. Windows AI server for Llama, Qwen, DeepSeek, Phi, Mistral. Turn Wi...

This skill maintains the Note Embeddings for Zettelkasten, to search notes, retrieve notes, and discover connections between notes.

Build and maintain a cross-platform local Zotero semantic index using metadata embeddings and PDF full-text chunk embeddings. Use when the user asks to vecto...

Operate an always-on local semantic-search service using zvec + Ollama embeddings. Use when you need to ingest .txt/.md files, run meaning-based search via H...

Complete Venice AI platform — text generation, web search, embeddings, TTS, speech-to-text, image generation, video creation, upscaling, and AI editing. Priv...

USE THIS for ai embedding search. Build semantic search with embeddings. OpenAI-compatible. 0% markup. Powered by SkillBoss.

Local arXiv paper manager with semantic search. Crawls arXiv categories, downloads PDFs, chunks content, and indexes with FAISS + Ollama embeddings. No cloud...

Semantic product search API using vector embeddings. Search products by natural language queries with price filtering, pagination, and relevance scoring. Use...

Local hybrid index for things you intentionally collect — code, docs, web pages, PDFs, raw text. FTS5 + vector embeddings + AST knowledge graph in a single s...