OpenClaw Skill

pinecone

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.

Install

$npx clawhub@latest install pinecone
View on GitHubv1.0.0
All-time installs6
Active installs6
Stars0

🌲 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

VariableRequiredDescription
PINECONE_API_KEY✅API key/token for Pinecone

Quick Start

bash
# List indexes
python3 {baseDir}/scripts/pinecone.py indexes
bash
# Get index details
python3 {baseDir}/scripts/pinecone.py index-get my-index
bash
# 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"}}}'
bash
# Delete an index
python3 {baseDir}/scripts/pinecone.py index-delete my-index

Commands

indexes

List indexes.

bash
python3 {baseDir}/scripts/pinecone.py indexes

index-get

Get index details.

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

index-create

Create an index.

bash
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.

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

upsert

Upsert vectors.

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

query

Query similar vectors.

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

fetch

Fetch vectors by ID.

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

delete

Delete vectors.

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

delete-namespace

Delete all vectors in namespace.

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

stats

Get index statistics.

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

collections

List collections.

bash
python3 {baseDir}/scripts/pinecone.py collections

collection-create

Create collection from index.

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

namespaces

List namespaces in index.

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

Output Format

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

bash
# 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

ScriptDescription
{baseDir}/scripts/pinecone.pyMain 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

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

📅 Need help setting up OpenClaw for your business? Book a free consultation

Created by

@aiwithabidi
View on ClawHub

Persistent memory

Give your OpenClaw agent a memory layer

Mem0 remembers users and context across sessions so you send fewer tokens and get better answers.

Try Mem0Mem0 + OpenClaw guide