AgenticMarketPinecone Vector Indexing
Best practices for vector search:
- Structure metadata with low cardinality for fast pre-filtering.
- Batch upserts into chunks of 100-250 vectors.
- Normalize vector embeddings to unit length when using cosine similarity.
ai-agentsVerified Skillv1.0.0mit Licenseapproved
Pinecone Hybrid Vector Search
Design vector index schemas, sparse-dense hybrid retrieval, metadata filtering, and high-throughput upsert pipelines.
Author:@community
Compatible with:Andromitycursorclaude-codewindsurfantigravity
Install into Andromity
Andromity loads skills from folders you trust. Install with andromity skill install pinecone-vector-search — autonomy and approval limits stay configurable per session.
Destination: Paste into any AI Agent (Cursor, Claude, Windsurf, AGY, Andromity)prompt mode
# Install the "Pinecone Hybrid Vector Search" skill You are installing an AgenticMarket skill into this workspace. Follow these steps exactly. ## 1. Detect your environment and choose the destination file - Andromity: `.andromity/skills/pinecone-vector-search/SKILL.md` (or user scope `~/.andromity/skills/pinecone-vector-search/SKILL.md`) - Antigravity / Gemini CLI: `.agent/skills/pinecone-vector-search/SKILL.md` - Cursor: `.cursor/rules/pinecone-vector-search.mdc` - Claude Code: append to `CLAUDE.md` (or `.claude/skills/pinecone-vector-search.md`) - Windsurf: append to `.windsurfrules` - Cline / Roo Code: `.clinerules/pinecone-vector-search.md` - GitHub Copilot: append to `.github/copilot-instructions.md` - ChatGPT / web only: paste the content into Custom Instructions - Any other agent: save to `.agent/skills/pinecone-vector-search/SKILL.md` ## 2. Create the destination file - Preserve every existing file and configuration entry. - Create parent folders as needed. - Never overwrite unrelated content. ## 3. Write exactly this content ```markdown --- name: pinecone-vector-search description: "Design vector index schemas, sparse-dense hybrid retrieval, metadata filtering, and high-throughput upsert pipelines." author: community license: mit version: 1.0.0 --- # Pinecone Vector Indexing Best practices for vector search: - Structure metadata with low cardinality for fast pre-filtering. - Batch upserts into chunks of 100-250 vectors. - Normalize vector embeddings to unit length when using cosine similarity. ``` ## 4. Verify - Confirm the file exists and is readable. - Report the destination path and confirm the "Pinecone Hybrid Vector Search" skill is installed and active. Skill metadata: - Slug: pinecone-vector-search - Category: ai-agents - License: mit - Source: AgenticMarket
Skill Specification & Instructions
Raw API pinecone-vector-search/SKILL.md
Frequently Asked Questions
Cursor · Claude Code · AndromityWhat does the Pinecone Hybrid Vector Search skill do?+
Design vector index schemas, sparse-dense hybrid retrieval, metadata filtering, and high-throughput upsert pipelines.
Which AI coding agents and IDEs support Pinecone Hybrid Vector Search?+
Pinecone Hybrid Vector Search works seamlessly with Cursor (.cursor/rules), Claude Code (CLAUDE.md & .claude/skills), Windsurf (.windsurfrules), Google Antigravity (.agent/skills), Andromity (.andromity/skills), and Cline.
How do I install Pinecone Hybrid Vector Search in 1 click?+
Click '1-Click Prompt Install' in the right sidebar or copy the prompt into your agent chat (Cursor Composer, Claude Code, or Andromity). The agent automatically configures the skill instruction file into your workspace.
Is Pinecone Hybrid Vector Search free to use?+
Yes, Pinecone Hybrid Vector Search is 100% free and open-source under the mit license on AgenticMarket with no per-call fees or paywalls.
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