pinecone

name	pinecone
description	Pinecone vector database — manage indexes, upsert vectors, query similarity search, manage namespaces, and track collections via the Pinecone API. Build semantic search, recommendation systems, and RAG pipelines with high-performance vector storage. Built for AI agents — Python stdlib only, zero dependencies. Use for vector search, semantic similarity, RAG applications, recommendation engines, and AI memory systems.
homepage	https://www.agxntsix.ai

🌲 Pinecone

Pinecone vector database — manage indexes, upsert vectors, query similarity search, manage namespaces, and track collections via the Pinecone API.

Features

• Index management — create, configure, delete indexes
• Vector upsert — insert and update vectors with metadata
• Similarity search — query nearest neighbors
• Namespace management — organize vectors by namespace
• Metadata filtering — filter queries by metadata fields
• Collection management — create snapshots of indexes
• Batch operations — bulk upsert and delete
• Index stats — vector counts, dimensions, usage
• Sparse-dense — hybrid search with sparse vectors
• Serverless — auto-scaling serverless indexes

Requirements

Variable	Required	Description
PINECONE_API_KEY	✅	API key/token for Pinecone

Quick Start

# List indexes
python3 {baseDir}/scripts/pinecone.py indexes

# Get index details
python3 {baseDir}/scripts/pinecone.py index-get my-index

# Create an index
python3 {baseDir}/scripts/pinecone.py index-create '{"name":"my-index","dimension":1536,"metric":"cosine","spec":{"serverless":{"cloud":"aws","region":"us-east-1"}}}'

# Delete an index
python3 {baseDir}/scripts/pinecone.py index-delete my-index

Commands

indexes

List indexes.

python3 {baseDir}/scripts/pinecone.py indexes

index-get

Get index details.

python3 {baseDir}/scripts/pinecone.py index-get my-index

index-create

Create an index.

python3 {baseDir}/scripts/pinecone.py index-create '{"name":"my-index","dimension":1536,"metric":"cosine","spec":{"serverless":{"cloud":"aws","region":"us-east-1"}}}'

index-delete

Delete an index.

python3 {baseDir}/scripts/pinecone.py index-delete my-index

upsert

Upsert vectors.

python3 {baseDir}/scripts/pinecone.py upsert --index my-index '{"vectors":[{"id":"vec1","values":[0.1,0.2,...],"metadata":{"text":"hello"}}]}'

query

Query similar vectors.

python3 {baseDir}/scripts/pinecone.py query --index my-index '{"vector":[0.1,0.2,...],"topK":10,"includeMetadata":true}'

fetch

Fetch vectors by ID.

python3 {baseDir}/scripts/pinecone.py fetch --index my-index --ids vec1,vec2,vec3

delete

Delete vectors.

python3 {baseDir}/scripts/pinecone.py delete --index my-index --ids vec1,vec2

delete-namespace

Delete all vectors in namespace.

python3 {baseDir}/scripts/pinecone.py delete-namespace --index my-index --namespace docs

stats

Get index statistics.

python3 {baseDir}/scripts/pinecone.py stats --index my-index

collections

List collections.

python3 {baseDir}/scripts/pinecone.py collections

collection-create

Create collection from index.

python3 {baseDir}/scripts/pinecone.py collection-create '{"name":"backup","source":"my-index"}'

namespaces

List namespaces in index.

python3 {baseDir}/scripts/pinecone.py namespaces --index my-index

Output Format

All commands output JSON by default. Add --human for readable formatted output.

# JSON (default, for programmatic use)
python3 {baseDir}/scripts/pinecone.py indexes --limit 5

# Human-readable
python3 {baseDir}/scripts/pinecone.py indexes --limit 5 --human

Script Reference

Script	Description
{baseDir}/scripts/pinecone.py	Main CLI — all Pinecone operations

Data Policy

This skill never stores data locally. All requests go directly to the Pinecone API and results are returned to stdout. Your data stays on Pinecone servers.

Credits

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Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

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