IntellectTechCodeHub/dpro_projects

RAG knowledge store with inferencing, predictions, and question answering.

Open

#62 opened on Aug 6, 2026

View on GitHub
 (1 comment) (0 reactions) (1 assignee)JavaScript (0 forks)auto 404
(9) story pointsenhancementgood first issue

Repository metrics

Stars
 (0 stars)
PR merge metrics
 (No merged PRs in 30d)

Description

Using the attached files, upload pdfs to the Azure AI Search, create a Search Index with recognizable fields for extracting answers for questions surfaced to the client via queries to an LLM endpoint configured with RAG custom implementation or an agent file search tool.

RAG requirements include:

  1. Foundry project
  2. Azure AI Search
  3. Upload pdf sources
  4. Index, Vectorization, and Embeddings
  5. LLM endpoint
  6. Endpoint and index integration
  7. Prompt edits for injecting updates from RAG knowledge base
  8. Test queries with prompts, system message, and supporting content
  9. Test chain of thought and few-shot learning
  10. Source validation

Contributor guide

Research direction
Study the repository structure to locate existing AI or Azure code, then learn how Azure AI Search indexes and vectorizes documents. Research RAG implementation patterns and identify how to integrate an LLM endpoint.
Tech stack
javascript
Domain
backendaicloud
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
Git
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
25