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TextGrad is exciting! Very much appreciate your efforts.
How to apply textgrad to retrieval-augmented-generation (RAG) for question & answer?
With RAG there are three inputs: the source material…
v5out updated
3 months ago
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[ ] I checked the [documentation](https://docs.ragas.io/) and related resources and couldn't find an answer to my question.
** Facing error with using Langchain wrapped hugging face models**
I am …
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### Documentation
- [X] I have consulted the [documentation](https://docs.json-everything.net), and my question isn't answered there.
### Nuget Package
JsonSchema.Net.Generation
### Package Versio…
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## 一言でいうと
「アーティストAがXの次に出したアルバムは?」など多段階の情報収集が必要な質問に回答する研究。段階的にクエリを発行しQAとIRを繰り返す手法を採用している(最終的に、IRで収集した情報を総合して回答する)。既存の情報とのオーバーラップが多い=関連する(知識グラフ的に接続有)とし検索を行っていく
![image](https://user-images.githubu…
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This is a thread for Carolina to summarize her research on RAG.
The purpose is to share the information among project members.
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Hello,
I was wondering whether there is any difference between Answer Relevance and Answer Faithfulness. Conceptually there is of course, but the code for training LLM judges and actually judging s…
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### Bug Description
Using the RagDatasetGenerator to generate dataset over a document, i noticed that there a few instance where GPT-4o generate a multiple choice question, but its now treats as indi…
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### Description:
Within the framework of our ongoing project, a **paramount objective** lies in the proficiency of question generation, serving as a cornerstone for educational support. Presently, ou…
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**Is your feature request related to a problem? Please describe.**
Context: I'm trying to transform the results of the survey to RDF (in the context of FAIR data) for a study we are doing in the con…