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[
"RAG is Dead. Long Live RAG! - Qdrant"
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"articles",
"articles/rag-is-dead"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"RAG is Dead. Long Live RAG!"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(1) | [
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] | p | Their supporting paper claims victory over accuracy issues, even when applying Greg Kamradt’s NIAH methodology. | [
"articles",
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"RAG is Dead. Long Live RAG! - Qdrant",
"RAG is Dead. Long Live RAG!"
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] | p | It’s over. | [
"articles",
"articles/rag-is-dead"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"RAG is Dead. Long Live RAG!"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(3) | [
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] | p | RAG must be completely obsolete now. | [
"articles",
"articles/rag-is-dead"
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"RAG is Dead. Long Live RAG!"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"RAG is Dead. Long Live RAG!"
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"articles",
"articles/rag-is-dead"
] | 17 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"RAG is Dead. Long Live RAG!"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(5) | [
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"articles",
"articles/rag-is-dead"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"RAG is Dead. Long Live RAG!"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(5) | [
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"RAG is Dead. Long Live RAG!"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"RAG is Dead. Long Live RAG!"
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"RAG is Dead. Long Live RAG!"
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"articles/rag-is-dead"
] | 24 |
[
"RAG is Dead. Long Live RAG! - Qdrant"
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"articles",
"articles/rag-is-dead"
] | 27 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Context stuffing is not the solution"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(9) | [
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[
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[
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[
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"articles",
"articles/rag-is-dead"
] | 32 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Context stuffing is not the solution"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(13) | [
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] | p | We don’t think 60-80% is good enough. | [
"articles",
"articles/rag-is-dead"
] | 33 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Context stuffing is not the solution"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(13) | [
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] | p | The LLM might retrieve enough relevant facts in its context window, but it still loses up to 40% of the available information. | [
"articles",
"articles/rag-is-dead"
] | 34 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Context stuffing is not the solution"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > blockquote:nth-of-type(2) > p | [
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] | p | You don’t need to wait for the LLM at all. | [
"articles",
"articles/rag-is-dead"
] | 37 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Context stuffing is not the solution"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Context stuffing is not the solution"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(14) | [
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Context stuffing is not the solution"
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"articles/rag-is-dead"
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[
"RAG is Dead. Long Live RAG! - Qdrant"
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"Vector search in compound systems"
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] | 45 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Vector search in compound systems"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(16) | [
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] | p | Introducing them into your design opens the possibilities for superior applications of LLMs. | [
"articles",
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Vector search in compound systems"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(17) | [
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] | p | People still don’t understand the economic benefit of vector databases. | [
"articles",
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(18) | [
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"articles",
"articles/rag-is-dead"
] | 54 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(18) | [
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] | p | In our minds, this is the most important question. | [
"articles",
"articles/rag-is-dead"
] | 55 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(18) | [
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] | p | Let’s pretend that LLMs cease struggling with context thresholds altogether. | [
"articles",
"articles/rag-is-dead"
] | 56 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(19) | [
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"Qdrant scales to enterprise RAG scenarios"
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"Qdrant scales to enterprise RAG scenarios"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
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"articles",
"articles/rag-is-dead"
] | 62 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(22) | [
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[
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"Qdrant scales to enterprise RAG scenarios"
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] | p | After this step, everything else is a breeze. | [
"articles",
"articles/rag-is-dead"
] | 64 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(22) | [
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"articles",
"articles/rag-is-dead"
] | 67 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(23) | [
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] | p | Julien Simon from HuggingFace says it best: | [
"articles",
"articles/rag-is-dead"
] | 68 |
[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > blockquote:nth-of-type(5) > p | [
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"Qdrant scales to enterprise RAG scenarios"
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"Qdrant scales to enterprise RAG scenarios"
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] | p | In addition, RAG downgrades the LLM to a writing assistant. | [
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Qdrant scales to enterprise RAG scenarios"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > blockquote:nth-of-type(5) > p | [
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] | p | Since built-in knowledge becomes much less important, a nice small 7B open-source model usually does the trick at a fraction of the cost of a huge generic model. | [
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"articles/rag-is-dead"
] | 73 |
[
"RAG is Dead. Long Live RAG! - Qdrant"
] | /articles/rag-is-dead/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h2:nth-of-type(4) | [
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Long Live RAG"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Long Live RAG"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Long Live RAG"
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[
"RAG is Dead. Long Live RAG! - Qdrant",
"Long Live RAG"
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] | p | In this post, we discuss: | [
"articles",
"articles/binary-quantization-openai"
] | 93 |
[
"Enhance OpenAI Embeddings with Qdrant's Binary Quantization - Qdrant",
"Enhance OpenAI Embeddings with Qdrant's Binary Quantization"
] | /articles/binary-quantization-openai/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > ul:nth-of-type(2) > li:nth-of-type(1) | [
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] | p | You can also try out these techniques as described in Binary Quantization OpenAI, which includes Jupyter notebooks. | [
"articles",
"articles/binary-quantization-openai"
] | 99 |
Subsets and Splits