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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Hi Team,
I am looking for evaluation criteria in case of Text to sql conversion parts…
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## Why RAG
Retrieval-Augmented Generation (RAG) is a technique that enhances the capabilities of LLMs by incorporating a retrieval mechanism into the generative process. This approach allows the model…
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```julia
julia> hamming_distance(x1::T, x2::T) where T function hamming_distance(x1, x2)
s = 0
@inbounds @simd for i in eachindex(x1, x2)
s += hamming_distance…
Moelf updated
1 month ago
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I am trying to use the built-in capabilities of llamaindex to evaluate the correctness o…
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lol.
`Incase you're curious we use named entity recognition models to extract key words / phrases. Then use bm25 + vector search to identify the top results! `
Implementation of exactly what…
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## Evaluation metrics
1. Embeddings
1.1 Question ID = 1 (6,231 questions)
| Model | Question ID | Correct matches | Accuracy (%) |
| -------- | ------- | -------- | ------- |
| Mixtra…
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We should add tests and benchmarks for RAG evaluation.
We can start with the `ragas` evaluation metric:
- [Medium post](https://www.humanfirst.ai/blog/rag-evaluation)
- [Github repo](https://githu…
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I am trying to use the promptflow-evals SDK in a project where I am using relative imports, which works fine because of how I call the modules (with python -m modulename).
However, PromptFlow tries…
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### Bug Description
I have a created a RAG with automerging retriver. it works and I am trying to evaluate it, but every time I call the functions as:
from llama_index.core.evaluation.eva…
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Hello,
I'm actually searching for a method to evaluate the rag, is there any suggestion to make this approach using Ragas or Trulens (Directly in the user interface or even a test in cli) and speci…