About this skill
miniCOIL v1 sparse neural retrieval model training methodology: per-word linear layer training with triplet loss, word vocabulary from frequency-filtered English words, sparse retrieval with jina-embeddings-v2-small-en encoder, sparse embedding training pipelines, OpenWebText sentence extraction for self-supervised training, semi-hard triplet mining, and evaluation on BEIR benchmarks. English-only miniCOIL v1 (jina-embeddings, 30k words, mxbai-embed-large-v1 mining). Reference for building, training, and deploying sparse neural retrieval models compatible with inverted indexes and Qdrant.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: d871d5094e22f15b25f2ff3df615e3fbed53a0de1643d0206356dee848c3bea0
About this listing
- Category
- General
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.