Our engineering team is evaluating different vector database providers for a new enterprise semantic search project in 2024. Which ones offer the best balance of speed, cost, and scalability?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Our engineering team is evaluating different vector database providers for a new enterprise semantic search project in 2024. Which ones offer the best balance of speed, cost, and scalability?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
2024 enterprise vector database comparison Pinecone Weaviate Qdrant Milvus pgvector performance pricing scalability Google ↗
Pinecone Weaviate Qdrant Milvus pgvector official documentation pricing serverless managed self hosted 2024 Google ↗
- Pricing · pinecone.io
- Choosing a Vector Database in 2026: Pinecone, Weaviate, Qdrant, pgvector & Milvus Compared · semantic.io
- Top Vector Databases for Enterprise AI: 2026 Comparison · atlan.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2024 enterprise vector database comparison Pinecone Weaviate Qdrant Milvus pgvector performance pricing scalability OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Pinecone Weaviate Qdrant Milvus pgvector official documentation pricing serverless managed self hosted 2024 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |