awa-ai/awadb
AI Native database for embedding vectors
This project helps developers store and quickly retrieve large collections of unstructured data like text, images, or audio by converting them into numerical representations called 'embeddings.' It takes raw data or pre-computed embedding vectors as input and allows for rapid searches to find the most similar items. This is used by developers building AI-powered applications that need semantic search or recommendation capabilities.
175 stars. No commits in the last 6 months.
Use this if you are a developer building an application that needs to quickly find data points (like text snippets or images) that are semantically similar to a given query, without complex database setup.
Not ideal if you need a traditional relational database for structured data with strict schema requirements and SQL querying.
Stars
175
Forks
17
Language
C++
License
Apache-2.0
Category
Last pushed
Nov 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/awa-ai/awadb"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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