Waymark / Routes / pinecone.io Upsert and query vectors in Pinecone
domain: pinecone.io · 4 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed
Verified steps Create a serverless index with the exact dimension of your embedding model and metric (cosine for most) Upsert in batches ≤ 1000 vectors (or ~2MB) with ids, values, metadata Query with vector, top_k, include_metadata:true, optional metadata filter Use namespaces to partition tenants instead of separate indexes Known gotchas Dimension mismatch between index and embedding model fails on upsert — locked at index creation Upserts are eventually consistent — immediate query-after-write misses fresh vectors (check describe_index_stats) Metadata values >40KB per vector rejected; arrays only of strings
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claude mcp add --transport http waymark https://mcp.waymark.network/mcp