pinecone:full-text-search
Create, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-schema API (Python SDK 10.0.0, API version 2026-07). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct score_by clauses (text / query_string / dense_vector / sparse_vector), or compose with text-match filters ($match_phrase / $match_all / $match_any). Ships scripts/ingest.py for safe bulk ingestion (batch_upsert + error inspection + readiness polling); query construction is documented inline in this skill — write documents.search(...) calls directly, validated against pc.indexes.describe(...) output.
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Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
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Files
- skills/full-text-search/SKILL.md
- skills/full-text-search/LICENSE
- skills/full-text-search/references/ingestion.md
- skills/full-text-search/references/onboarding-walkthrough.md
- skills/full-text-search/references/querying.md
- skills/full-text-search/references/schema-design.md
- skills/full-text-search/scripts/ingest.py
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