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1. llmware-ai/[llmware](https://github.com/llmware-ai/llmware): Unified framework for building enterprise RAG pipelines with small, specialized models (github.com)
2. https:[/](https://github.com/ll…
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### Description
Learned Sparse Vectors claim to combine the benefits of sparse (i.e. lexical) and dense (i.e. vector) representations
From https://en.wikipedia.org/wiki/Learned_sparse_retrieval:…
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Hi @nreimers
I've been using the msmarco-distilbert-dot-v5 model for asymmetric search and QnA retrieval.
I recently came across the models that were created during the Community Jax/Flax week.
W…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I recently upgraded llama_index to version 0.11.2.
I also changed from using Sentence…
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- [ ] [SWE-bench/README.md at main · princeton-nlp/SWE-bench](https://github.com/princeton-nlp/SWE-bench/blob/main/README.md?plain=1)
# SWE-bench README
| [日本語](https://github.com/p…
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**Link to the notebook**
[Retrieval-Augmented Generation: Question Answering based on Custom Dataset with Open-sourced [LangChain](https://python.langchain.com/en/latest/index.html) Library](https://…
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Hi, great work and thanks for releasing the code. In Table 10 of your InternVideo2 paper, you reported the results of finetuning video retrieval in both T2V and V2T on MSR-VTT, LSMDC, DiDeMo, MSVD, Ac…
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Hi! Loving the Arena for quick inspection of models :)
I noticed that the scores for the retrieval are computed as dot products, as opposed to cosine similarity, even though the embeddings are not…
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Hello,
I ran the code provided for LongBench using the Llama-3-8B-Instruct model but couldn't reproduce the results reported in Table 8 of your paper. Specifically, the full precision baseline mode…
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Using TensorFlow Recommenders, we often employ a standard process:
1. Retrieve candidates using a retrieval model.
2. "Explode" the retrieval queries and retrieved candidates into query-candidate …