Comments (3)
kemingy
commented on September 27, 2024
- Check the PR: erikbern/ann-benchmarks#510
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gaocegege
commented on September 27, 2024
pgvector, and pgvecto.rs
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gaocegege
commented on September 27, 2024
Some ANN benchmarks results
We tested ANN benchmarks and got some initial results. However, we don't believe that it reflects the real-world workloads. For example, it only uses one process to send query requests, which doesn't take concurrency into consideration. Our design includes an IPC for each request, which affects the results. If we send requests using multiple processes at the same time, the database's observed speed (QPS) is much higher than pgvector.
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Related Issues (20)
- Need a docker compose example HOT 4
- epic: Support SDKs in different programming languages HOT 4
- bug(cnpg): type "vector" does not exist HOT 1
- The default max_stack_depth parameter in the container image may be too small HOT 12
- How could I use AzureOpenAI to build LlamaIndex? HOT 2
- vector type not found in the database - pgvecto_rs.psycopg register_vector HOT 5
- copy with BINARY FORMAT fails with cannot find a dumper for type vector HOT 3
- sdk: Sparse vector indices type mismatch between sdk and function signature with numpy.ndarray
- How to find index size ? HOT 3
- Execute pg_resetwal in docker Unraid HOT 3
- feat: Support vector aggregation function HOT 1
- feat(fdw): How to be compatible with new pgvector types HOT 1
- bench(fdw): Latency HOT 4
- fix(bench): Fix ZillizBench HOT 1
- feat: Add pgvecto.rs to vector hub HOT 2
- unknown x86 target feature HOT 2
- install patched pgrx failed HOT 4
- Can I index array of vectors? HOT 4
- chore(ecosystem): Langchain Python SDK Bump Version HOT 2
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