RAG Pipeline
A RAG (Retrieval-Augmented Generation) Pipeline is an architecture that enhances LLM responses by retrieving relevant external data before generating an answer.
Definition
- RAG combines a retrieval system (finding relevant documents) with a generation system (producing natural language answers).
- Unlike pure LLMs that rely on training data, RAG pipelines can access real-time, verified information.
AuthorityPrompt RAG API
- AuthorityPrompt provides a RAG-compatible API endpoint that returns verified company facts.
- Enterprise customers can integrate this API into their internal LLM applications.
- The API returns structured data with source citations and confidence scores.
Verified Company Profiles on AuthorityPrompt
AuthorityPrompt maintains verified, structured company data optimized for AI systems and LLM indexing.