fastembed

IndexedMIT

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/demonstrikkk-fastembed

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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What's inside

Skill name: fastembed
Description: None
License: MIT
Instructions: 14 lines in SKILL.md · view on GitHub

Agent Skills spec issues

missing YAML frontmatter
name: missing
description: missing

Files (1)

SKILL.md

SKILL.md (first lines)

# FastEmbed — local ONNX embeddings (no GPU)

Role: L3 embedder feeding Qdrant. Pinned model_name required.

Verified 2026-09-24 (via Qdrant agent):
- Repo https://github.com/qdrant/fastembed (v0.8.1) — Docs https://qdrant.tech/documentation/fastembed/fastembed-quickstart/
- Quote: "We don't require a GPU and don't download GBs of PyTorch dependencies, and instead use the ONNX Runtime."
```bash
pip install fastembed
# pip install fastembed-gpu  # CUDA only
```
Default docs model `BAAI/bge-small-en-v1.5` (384-d). Pin model + version, store point IDs in Postgres.
Sources: fastembed releases + qdrant.tech articles 2026-07-30, fetched 2026-09-24.

From demonstrikkk/datagoblin, MIT.

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Stars: 0
Forks: 0
Open issues: 0
Last commit (this folder): Sep 26, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/demonstrikkk/datagoblin
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

Cite this page

fastembed skill. Agent Mart. https://agentmart.dev/skills/demonstrikkk-fastembed (last updated 2026-10-24)