pinecone-full-text-search
pinecone-full-text-search is an agent skill published by pinecone-io, listed under building agents. It lives in the pinecone-io/skills repository, which has 15 GitHub stars and is licensed under MIT; we last read it on 2026-09-16.
This tool creates, ingests into, and queries a Pinecone full-text-search document index using the Python SDK 10.0.0. It requires credentials for Pinecone. It supports adding dense or sparse vector fields, ingesting documents, and constructing search queries.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads pinecone-io/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add pinecone-io/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
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.
pinecone-full-text-search compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| pinecone-full-text-search (this page) | pinecone-io | Create, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-… | 15 | 2026-09-18 |
| pinecone-mcp(same repository) | pinecone-io | Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, de… | 15 | 2026-09-18 |
| pinecone-n8n(same repository) | pinecone-io | Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pi… | 15 | 2026-09-18 |
| pinecone-query(same repository) | pinecone-io | Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated inde… | 15 | 2026-09-18 |
| claude-handoff | mattpocock | Hand the current conversation off to a fresh background agent that picks up the work immediately. | 303,549 | 2026-10-22 |
| context-engineering | addyosmani | Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when swit… | 110,611 | 2026-10-13 |
| using-agent-skills | addyosmani | Discovers and invokes agent skills. Use when starting a session, or when you need to decide which skill or wo… | 110,611 | 2026-10-13 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about pinecone-full-text-search
- What does pinecone-full-text-search do?
- This tool creates, ingests into, and queries a Pinecone full-text-search document index using the Python SDK 10.0.0. It requires credentials for Pinecone. It supports adding dense or sparse vector fields, ingesting documents, and constructing search queries.
- How do I install pinecone-full-text-search?
- Run npx skills add pinecone-io/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes pinecone-full-text-search?
- pinecone-io.
- Is pinecone-full-text-search maintained, and what licence does it use?
- Its repository has 15 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-09-18. The repository declares the MIT licence.
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