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Hi, I have tried to integrate big data corpus (all of them txt file and have are very large documents). Each time, I ask a question, it starts to search among all of the files that are in the corpus a…
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While I set _DOCUMENT_ENCODER_MODEL_ to mistral (should it be ollama/mistral?), danswer still thinks it should load the model from HF. Is there a way to force him to connect to an external endpoint?
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I want to deploy the embedding API on Server A and then deploy the Llama Index on Server…
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![image](https://github.com/spring-projects/spring-ai/assets/35489877/c760237f-ee29-4669-b074-88ba6ad96402)
During search, hybrid search, similar search and keyword search will be supported and submi…
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Hi all,
How to use cross-encoder model to rerank a nested text field?
I tried the below but it seems like rerank does not have any effect!
PUT /_search/pipeline/ms-marco-MiniLM-L-12-v2_rerank…
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One benefit of having the extra Markdown structure, other than having better split points, is we can provide extra context to a given chunk from the headings that are relevant to a given chunk.
It wo…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Hello there, I have an use case for my company of which I set up a naive RAG + reranker …
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### Bug Description
I'm trying to use a reranker NIM to replace a HiggingFace model. The NIM service works properly from curl. Example:
```
more test_re-ranker.sh
curl -X "POST" \
"http://…
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为检验 Embedding 模型在 RAG 应用中的性能,我们引入 [C-MTEB](https://github.com/FlagOpen/FlagEmbedding/blob/master/C_MTEB/README.md) 评测用来评估 Embedding 模型的性能。
已有的 Embedding 模型的 C-MTEB 分数在 [MTEB Leaderboard](https://hu…
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as far as i understand, reranker models, typcially take query + doc as input, and directly give a score as output. so called "cross-encoders".
![cross-encoders](https://weaviate.io/assets/images/c…