Do I need Pinecone if I'm only storing a few hundred thousand embeddings?

Not necessarily.

If you’re only storing a few hundred thousand embeddings, Pinecone may be overkill depending on your needs. The right choice depends on a few factors:

You might not need Pinecone if:

• You have < 1M embeddings
• Your query volume is modest
• You can tolerate a bit of engineering/ops work
• You’re okay using a managed database or open-source vector index

Good alternatives for a few hundred thousand embeddings:

• Postgres + pgvector: great if you already use Postgres and want simplicity
• FAISS: very fast, but you manage persistence and scaling yourself
• Qdrant / Weaviate / Milvus: solid vector databases with more control
• SQLite + vector extensions for small/simple setups

Pinecone is useful if:

• You want fully managed infrastructure
• You expect growth or unpredictable scale
• You need low-latency similarity search at production reliability
• You don’t want to deal with indexing, sharding, or operational tuning

Rule of thumb

For a few hundred thousand vectors, I’d usually start with:

• pgvector if you want simplicity and already have Postgres
• Qdrant if you want a dedicated vector DB with good ergonomics
• FAISS if it’s a local/offline or prototype use case

If you want, I can help you choose between Pinecone vs pgvector vs Qdrant based on your stack and query patterns.