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query-pinecone

Query the abd-answers Pinecone vector index for grounding chunks with similarity scores.

1|Updated Feb 26, 2026
Search Tags:#rag#retrieval#grounding#pinecone#vector-search#abd-answers
One-click install
npx skills add https://github.com/agilebydesign/agilebydesign-skills --skill query-pinecone
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: query-pinecone
Source: https://github.com/agilebydesign/agilebydesign-skills/tree/main/skills/abd-answers/skills/query-pinecone
Command: npx skills add https://github.com/agilebydesign/agilebydesign-skills --skill query-pinecone

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Retrieve grounding context from the abd-answers Pinecone index to improve answer accuracy in chat or content hub queries.

Core Features & Use Cases

  • Retrieve relevant chunks from a Pinecone vector index for grounding responses.
  • Supports optional scope with memoryRootId and folders to filter results.
  • Use case: when a user asks about content hub topics, fetch and cite chunk titles and source URLs for grounding.

Quick Start

Activate abd-answers in a chat and run the Pinecone-based query to fetch grounding chunks.

Frequently Asked Questions about query-pinecone

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve grounding chunks from a Pinecone vector index for chat responses?▼

Query the abd-answers Pinecone vector index to retrieve grounding chunks for agent responses, returning chunk titles, source URLs, body previews, and similarity scores for chat contexts.

What is vector search grounding for content hub topics?▼

Vector search grounding fetches relevant context chunks from a Pinecone index to improve answer accuracy, allowing you to cite chunk titles and source URLs when users ask about content hub topics.

Can I filter Pinecone vector search results by folders or memory root ID?▼

Yes, vector search results can be scoped using optional memoryRootId and folders parameters to filter the retrieved grounding chunks returned in the structured JSON payload.

What data format does the Pinecone query return for RAG grounding?▼

The query returns a structured JSON payload containing ragRef, query, k, folders, memoryRootId, and an array of chunks with titles, source URLs, body previews, and similarity scores for downstream grounding.

Does vector search grounding work without any external dependencies?▼

The Pinecone-backed vector search grounding operates with no listed external dependencies, querying the abd-answers index directly to fetch context chunks for agent responses.

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