An in-house LLM
Your own LLM answers from the company’s knowledge base, without content flowing to external providers.
An “in-house LLM” is a large language model that a company runs itself and that answers exclusively from its own knowledge base — documents, manuals, contracts, internal know-how. The content does not flow to external providers such as OpenAI or Google.
Technically, this usually combines a locally run model with retrieval-augmented generation (RAG): the model retrieves relevant passages from the company’s own knowledge base and formulates an answer with source references. Knowledge thus stays sovereign, confidential and verifiable.
MangoSeed’s Custom LLM does exactly this: a language model that delivers sovereign knowledge — locally, without data leakage, based on what your company actually knows.
Frequently asked
What is retrieval-augmented generation (RAG)?
RAG is a technique where a language model retrieves relevant information from a knowledge base and produces a well-founded, verifiable answer — instead of answering only from its training knowledge.