ChatGPT Retrieval Plugin (Experiment)

Overview

Exploration of retrieval-augmented patterns and vector-store-backed querying for LLM apps.

Problem

LLMs need grounded context; retrieval layers improve answer quality by supplying relevant documents.

Solution

Explored retrieval plugin patterns, adapters, and integration approaches for RAG-style applications.

Impact

Improved familiarity with retrieval architecture patterns applicable to production LLM systems.

Architecture

Reliability & Security

Production readiness and security practices applied to this project.

Deployment

Deployment approach depends on environment and stack.

Lessons Learned

Key takeaways from building and operating this system.

Next Steps

Possible follow-ups and improvements.