Question 1

What is the Trustoryx RAG Knowledge Base?

Accepted Answer

The Trustoryx RAG Knowledge Base is a structured repository of 1,800+ semantic document chunks formatted specifically for Retrieval-Augmented Generation (RAG), LLM context injection, and AI answer engine discovery.

Question 2

How are RAG chunks generated and scored?

Accepted Answer

Each document is segmented at semantic section boundaries, tagged with metadata, and scored using multi-token frequency, title alignment, and topic cluster relevance.

Question 3

Can I export the vector embeddings dataset?

Accepted Answer

Yes! The dataset is exported in both standard JSON and JSONL formats for seamless ingestion into vector stores such as Supabase pgvector, Pinecone, or OpenAI embeddings pipelines.

Interactive RAG Vector Database Explorer

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