linkml/linkml-store
wrapper for multiple linkml storage engines
This tool helps data engineers and scientists manage, integrate, and query diverse datasets from various sources like DuckDB, MongoDB, or local files. It takes structured or semi-structured data, allowing users to perform standard database operations, semantic searches using AI, and validate data quality, outputting curated, validated, and intelligently searchable information.
Use this if you need a unified way to interact with different data storage systems, perform advanced search (including AI-powered semantic search), and validate data without being locked into a single database technology.
Not ideal if you primarily work with a single, specialized database and do not require integrating data from multiple backend types or advanced AI-driven search and inference capabilities.
Stars
24
Forks
3
Language
Python
License
MIT
Category
Last pushed
Feb 25, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/linkml/linkml-store"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pixeltable/pixeltable
Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store,...
superlinked/VectorHub
VectorHub is a free, open-source learning website for people (software developers to senior ML...
hhblaze/DBreeze
C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID...
TileDB-Inc/TileDB-Vector-Search
Cloud-native vector similarity search and storage with efficient, serverless scale-out