A Comprehensive Guide to Drupal RAG Integration Architecture

Staff Reporter

Akansha Saxena recently published an insightful blog post titled "Inside the Codebase: A Deep Dive Into Drupal RAG Integration" on Inside the Codebase. This post delves into the intricate integration between a backend designed for intelligent data retrieval and augmentation, and a robust Drupal 10 frontend.

The backend utilizes Chroma as the vector database and is built with FastAPI and Python 3.6, incorporating a Local Language Model Abstraction Layer (OLLAMA) that processes language models locally, specifically using Mistral. On the front end, the integration leverages Drupal 10 CMS, PHP 8.1, and MySQL.

The blog elaborates on the architecture of this integration, highlighting four key APIs: Add Feed, Update Feed, Delete Feed, and Ask. The Add Feed API facilitates content division into smaller chunks, each assigned a unique ID, and stored in the Chroma Vector Database. The Update Feed API manages updates by deleting existing documents and repopulating the database with updated information. The Delete Feed API removes documents using their unique identifiers, and the Ask API retrieves and augments user queries, generating responses via the Mistral model.

Additionally, the blog discusses the Drupal RAG integration schema and hooks that manage the node lifecycle within Drupal and the user interaction facilitated through an “ASK” form for querying the Drupal database.

Source Reference

Title

Inside the Codebase: A Deep Dive Into Drupal Rag Integration

Byline

Akansha Saxena

Date of Publication

06 August 2024

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CMS

MySQL

Drupal 10

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