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Establish a comprehensive benchmark between popular RAG retrieval strategies—Activeloop's Deep Memory, Haystack, and OpenAI's Assistant—to evaluate and compare their performance in terms of accuracy, …
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- [ ] [Title: "Self-Retrieval: An LLM-Driven Information Retrieval Architecture for the Era of Large Language Models"](https://arxiv.org/html/2403.00801v1)
# Self-Retrieval: An LLM-Driven Information…
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It will be wonderfull if there were Helper functions for external retrieval like:
- lm.get_URL(path) for using an URL
- lm_get_MD(path) for using Markdown document
- lm_get_PDF(path) for using P…
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We need to integrate Single Sign-On (SSO) authentication into our backend, which is developed using Express.js and MongoDB. The goal is to allow users to authenticate using their existing credentials …
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as the title suggest. If de candidate documents are too long overflow the max_length of tokenizer setting or model setting in CrossEncoder how can i perform this kind of task ?
a straightforward idea …
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### Bug Description
I previously implemented a VectorIndexRetriever using LlamaIndex's built-in vector index without any vector database, with MMR mode and mmr_threshold. It worked fine.
I then ad…
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Embedded using the API
Significantly underperforms vs other models
In most of the cases, each embedding is a full text of the Supreme Court decision
Indexed with hnsw.
Should I use a different…
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## my environment running ArangoDB
I'm using the latest ArangoDB of the respective release series:
- [ ] 3.3
Hi dear Arango team,
I was trying and wondering if there is a direct retrieval of edg…
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GPU:4*RTX 4090 24G
代码是:
```
from FlagEmbedding import BGEM3FlagModel
model = BGEM3FlagModel('BAAI/bge-m3', use_fp16=True)
sentences_1 = ["What is BGE M3?", "Defination of BM25"]
sentences_…
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In the part `Step 4. Query in Real Time and Check Grounding` of `genai-on-vertex-ai/retrieval_augmented_generation/diy_rag_with_vertexai_apis/build_grounded_rag_app_with_vertex.ipynb`
The notebook …