Categories:
ATRIA RAG Server architecture and components
Development architecture and technical components of the atria-rag-server
Architecture overview
The following diagram schematically shows the main technical components integrated into atria-rag-server.
A brief description of the technical components is included below:
Project
A project contains information required for the execution of the RAG pipeline: specific models for semantic search and lexical search; path where the documents to feed the LLMs are located; allowed file extensions, etc.
Semantic search (embeddings)
Qdrant database that stores the embeddings generated through semantic search (OpenAI embeddings) technology.
Lexical search (LLMs)
Database that stores the required documentation for making lexical searching, based on keywords.
Configuration
atria-rag-server includes a default configuration. Constructors can use it as is or they can modify it to be adapted to their requirements or business models: Go to document ATRIA configuration.