# Pinecone Full Text Search

> Create, ingest into, and query a Pinecone full-text-search (FTS) index using the preview API (2026-01.alpha, public preview). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct scoreby clauses (text / querystring / densevector / sparsevector), or compose with text-match filters ($matchphrase / $matchall / $matchany). Ships scripts/ingest.py for safe bulk ingestion (batchupsert + error inspection + readiness polling); query construction is documented inline in this skill — write documents.search(...) calls directly, validated against pc.preview.indexes.describe(...) output.

## Facts
- Page: https://tashan.sh/capability/skill-pinecone-io-pinecone-full-text-search
- tashan id: skill:pinecone-io/pinecone-full-text-search
- Source: https://github.com/pinecone-io/pinecone-claude-code-plugin
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 94.0
- Freshness: 88.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r pinecone-full-text-search ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-23 by tashan (https://tashan.sh) from public evidence. Scorer s5.