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anonymous

2 points

2 comments

Posted6d agoActive5d ago

VectorWave

github.com

launchedlibraryAI engineers, backend developers

Key Features

Semantic search of execution historySemantic cachingSelf-Healing by comparing error traces

Tech Stack

Python

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Weaviate

Vector DatabasesdebuggingaiCodeRabbit

Discussion (2 comments)

Showing 2 comments

dmarwicke

6d ago

1 reply

wait this seems expensive? why vectorize everything when postgres is sitting right there. is the point to search through logs or something

cozymori

5d ago

First, we don't actually vectorize everything.

We use a hybrid approach to keep costs low and performance high:

Function Metadata: Vectorized only once (for semantic search).

Execution Logs: Stored as standard structured data without embeddings.

Since we don't embed every log, the storage cost is virtually the same as using Postgres. The real value of VectorWave is automating this 'Vector for Search

View on Hacker NewsHN ID: 46400118Mood: excited

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