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# Summary
In certain domains, such as text retrieval, a hybrid vector space is very desirable, consisting of both a dense and sparse components. Ideally, a system should efficiently perform a neare…
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I reproduced the embeddings sample from [GritLM](https://github.com/ContextualAI/gritlm?tab=readme-ov-file#basic) and llama.cpp returns unexpected embedding values. I have been able to get embeddings …
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When trying the example in `search/retrieval-augmented-generation/examples/question_answering.ipynb` I am getting: `TypeError: TextGenerationModel.predict() got an unexpected keyword argument 'candida…
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Motivation:
I want to be able to search on my static website and to able to generate new content from my search to augment the user experience.
Holistic Workflow:
- Perform an initial search
-…
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**Objetivo:**
El objetivo de esta Issue es investigar y documentar los conceptos teóricos clave de Retrieval-augmented Generation (RAG), embeddings y bases de datos vectoriales como parte del marco t…
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| | Plugin Name | Description |
|------|:---------------------------…
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I'm using the library with Deno (`1.36.4`) and calling the chat function with documents produces the following error:
```
error: Uncaught (in promise) Error: Status code: 400
Body: {
"message": …
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Advent of Haystack Day 2
**Describe the bug**
Building RAG with ranker and with HFTGI Generator component throws data structure error message, whereas if I use GPT Generator, the pipeline works fine…
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Hi, why is the input to the retrieval (x + y_(t-1)) and not (x + y_( `requirements.txt`
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### Feature request
Set up template to simplify fine-tuning of embedding models.
### Motivation
[Fine-tuning](https://blog.langchain.dev/using-langsmith-to-support-fine-tuning-of-open-source-llms/)…