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### Validations
- [X] I believe this is a way to improve. I'll try to join the [Continue Discord](https://discord.gg/NWtdYexhMs) for questions
- [X] I'm not able to find an [open issue](https://githu…
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### Project description
The project entails the training and fine tuning of an open source Gen AI Large Language Model (LLM) designed to function as a primary mentor and educator within the mainframe…
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### File Name
https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/use-cases/retrieval-augmented-generation/intro_multimodal_rag.ipynb
### What happened?
Following code faile…
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## Problem to Solve
I would like to be able to use vector embeddings to perform semantic searching over a TypeDB database, to support use cases like Retrieval Augmented Generation and integration w…
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Bonjour @bofenghuang,
Est-ce que je peux utiliser le modèle vigogne avec llamaindex pour interroger mes propres données en local?
Merci de fournir des pistes qui pourront m'aider.
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小白求问，这个支持add多个document，然后进行rag吗？非常感谢非常感谢
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Prefix value from the stack input needs to be passed to the KMS DA
https://github.com/terraform-ibm-modules/stack-retrieval-augmented-generation/blob/f12b0268ecb7c4ad05dbdbe49e65e21dd86cded5/stack_…
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Prefix value from the stack input needs to be passed to the SCC DA
https://github.com/terraform-ibm-modules/stack-retrieval-augmented-generation/blob/f12b0268ecb7c4ad05dbdbe49e65e21dd86cded5/stack_…
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Retrieval Augmented Generation (RAG) is a process by which relevant documentation is selected from a corpus and appended to a the prompt. This enables specialised and highly focused context to be adde…
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Retrieval augmented generation (RAG) is a technique to enrich LLMs with the apps/org own data. It has become very popular as it lowers the complexity entry to enriching input in LLM apps, allows for b…