microsoft / microsoft/rag-experiment-accelerator

Refactoring: Incorporating indexing optimization from LLMOps Playbook (Moody's engagement inputs)

Open
#232 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Good have refactoring
Dominant language
Python
Stars
311
Forks
111
PR merge metrics
No merged PRs in 30d

Description

This issue has no description.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue body names no files, tests, or entry points. Start by locating the indexing implementation and reviewing the LLMOps Playbook reference; the issue needs a defined optimization scope and measurable completion criteria before work can begin.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
search
Issue type
Refactor
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.