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Ragaaf (RAG assessment annotation free) #157

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merged 28 commits into from
Oct 15, 2024

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adkakne
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@adkakne adkakne commented Oct 11, 2024

Description

Adding annotation free RAG evaluation feature using LLM-as-a-judge methodology.

Issues

n/a.

Type of change

List the type of change like below. Please delete options that are not relevant.

  • New feature (non-breaking change which adds new functionality)

Dependencies

jsonlines, openai

Tests

Added ./tests/test_ragaaf.py for testing.

adkakne and others added 21 commits September 20, 2024 03:27
Co-authored-by: root <[email protected]>
Signed-off-by: aasavari <[email protected]>
Signed-off-by: aasavari <[email protected]>
Signed-off-by: aasavari <[email protected]>
tests/test_ragaaf.py Outdated Show resolved Hide resolved
@adkakne
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adkakne commented Oct 11, 2024

Test is working with local endpoint for mistralai/Mixtral-8x7B-Instruct-v0.1 sharded on 8 HPUs.
image

Signed-off-by: aasavari <[email protected]>
@adkakne
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adkakne commented Oct 11, 2024

Hi @XinyuYe-Intel @lkk12014402 @minmin-intel,

After your review, I made updates to RAGAAF codebase, our final offering is -

  1. Data - can accept unit test cases, local datasets or benchmarking datasets
  2. Models - can accept all OpenAI models or a endpoint.
  3. Hardware - endpoint can run on HPU/GPU/CPU, local testing supports GPU/CPU, OpenAI testing uses their remote server.
  4. Metrics - we offer factualness, correctness, relevance and readability. User can add their own metrics easily.

Thank you for your final review and your insights for improvements in the code.

@lkk12014402
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LGTM

@XinyuYe-Intel XinyuYe-Intel merged commit 2413e70 into opea-project:main Oct 15, 2024
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6 participants