Are there any open source vector search alternatives that match Pinecone accuracy for semantic product recommendations without breaking our company data privacy policies?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Are there any open source vector search alternatives that match Pinecone accuracy for semantic product recommendations without breaking our company data privacy policies?
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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Qdrant Milvus Weaviate pgvector OpenSearch vector search self hosted documentation filtering hybrid search benchmarks 2026 Google ↗
Pinecone vector database benchmark comparison Qdrant Milvus Weaviate pgvector recall latency product recommendation Google ↗
- Official website · qdrant.tech
- GitHub · github.com
- Official website · milvus.io
- GitHub · github.com
- Official website · weaviate.io
- GitHub · github.com
- GitHub · github.com
- Vector DB Comparison · neelmishra.github.io
- Vector Search Benchmarks · qdrant.tech
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Qdrant Milvus Weaviate pgvector OpenSearch vector search self hosted documentation filtering hybrid search benchmarks 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Pinecone vector database benchmark comparison Qdrant Milvus Weaviate pgvector recall latency product recommendation OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |