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[
"What is a Vector Database? - Qdrant",
"Data Security and Access Control"
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] | p | Here’s a high-level overview of Qdrant’s terminologies and how they fit into the larger picture: | [
"articles",
"articles/what-is-a-vector-database"
] | 603 |
[
"What is a Vector Database? - Qdrant",
"Architecture of a Vector Database"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(52) | [
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[
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"What is a Vector Database? - Qdrant",
"Architecture of a Vector Database"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(53) | [
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"What is a Vector Database? - Qdrant",
"Architecture of a Vector Database"
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[
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"Vector Database Use Cases"
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] | p | Here’s some examples on how to take advantage of using vector databases: | [
"articles",
"articles/what-is-a-vector-database"
] | 620 |
[
"What is a Vector Database? - Qdrant",
"Vector Database Use Cases"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(60) | [
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"articles",
"articles/what-is-a-vector-database"
] | 621 |
[
"What is a Vector Database? - Qdrant",
"Vector Database Use Cases"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(60) | [
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] | p | It doesn’t try just matching the words themselves. | [
"articles",
"articles/what-is-a-vector-database"
] | 625 |
[
"What is a Vector Database? - Qdrant",
"Vector Database Use Cases"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(61) | [
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] | p | Here’s an example of a vector search engine for Startups made with Qdrant: | [
"articles",
"articles/what-is-a-vector-database"
] | 626 |
[
"What is a Vector Database? - Qdrant",
"Vector Database Use Cases"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(63) | [
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[
"What is a Vector Database? - Qdrant",
"Vector Database Use Cases"
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"What is a Vector Database? - Qdrant",
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[
"What is a Vector Database? - Qdrant",
"Vector Database Use Cases"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(64) | [
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] | p | Here are some more use cases examples you can take a look at. | [
"articles",
"articles/what-is-a-vector-database"
] | 631 |
[
"What is a Vector Database? - Qdrant"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h3:nth-of-type(9) | [
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"articles",
"articles/what-is-a-vector-database"
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[
"What is a Vector Database? - Qdrant",
"Starting Your First Vector Database Project"
] | /articles/what-is-a-vector-database/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(66) | [
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[
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"Starting Your First Vector Database Project"
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"articles/what-is-a-vector-database"
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[
"What is a Vector Database? - Qdrant",
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant"
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant"
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] | p | Sparse vectors are like the Marie Kondo of data—keeping only what sparks joy (or relevance, in this case). | [
"articles",
"articles/sparse-vectors"
] | 649 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"What is a Sparse Vector?"
] | /articles/sparse-vectors/ | 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 | Consider a simplified example of 2 documents, each with 200 words. | [
"articles",
"articles/sparse-vectors"
] | 650 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"What is a Sparse Vector?"
] | /articles/sparse-vectors/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(3) | [
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"articles",
"articles/sparse-vectors"
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"What is a Sparse Vector?"
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] | p | In this example: We assume it selects only 2 words or tokens from each document. | [
"articles",
"articles/sparse-vectors"
] | 652 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"What is a Sparse Vector?"
] | /articles/sparse-vectors/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(4) | [
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"articles",
"articles/sparse-vectors"
] | 653 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"What is a Sparse Vector?"
] | /articles/sparse-vectors/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(4) | [
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"What is a Sparse Vector?"
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"articles/sparse-vectors"
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[
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"What is a Sparse Vector?"
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"articles/sparse-vectors"
] | 664 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"What is a Sparse Vector?"
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"articles",
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"Understanding Sparse Vectors"
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"Understanding Sparse Vectors"
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] | p | For example, they can’t capture the relationship between “king” and “queen” as well as dense vectors. | [
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] | 677 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant"
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"SPLADE"
] | /articles/sparse-vectors/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(15) | [
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] | p | Then, we’ll look at the concepts behind SPLADE. | [
"articles",
"articles/sparse-vectors"
] | 688 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant"
] | /articles/sparse-vectors/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h1:nth-of-type(4) | [
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] | p | We will get a dictionary of token ids and their corresponding weights for a sample text - representing a document. | [
"articles",
"articles/sparse-vectors"
] | 693 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"Creating a Sparse Vector"
] | /articles/sparse-vectors/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(20) | [
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] | p | If you’d like to follow along, here’s a Colab Notebook, alternate link with all the code. | [
"articles",
"articles/sparse-vectors"
] | 694 |
[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant"
] | /articles/sparse-vectors/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h2:nth-of-type(2) | [
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant"
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"Computing the Sparse Vector"
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[
"Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search - Qdrant",
"Computing the Sparse Vector"
] | /articles/sparse-vectors/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(21) | [
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[
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"Computing the Sparse Vector"
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] | p | In a TF-IDF, we’d assign weights only to these tokens or words. | [
"articles",
"articles/sparse-vectors"
] | 699 |
Subsets and Splits