OpenKB

OpenKB

Open LLM knowledge base without a vector DB

Description

Chunking long documents for RAG breaks context and returns disjointed fragments. OpenKB is an open LLM knowledge base that uses reasoning-based retrieval instead of vector similarity, with no vector DB, long-document support and native multimodality.

Its wiki pages follow Google's Open Knowledge Format, with entity pages for people, organizations and places.

Features



Reasoning retrieval:Logic over similarity.

Long documents:Context preserved.

Multimodal:Text and images.

Entity pages:People, orgs and places.