Изменил(а) на 'README.md'

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Grigorii Safronov 1 week ago
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### Table of contents
1. [About The Project](#about-the-project)
1. [About The Project](#about-the-vector-model)
2. [Getting Started](#getting-started)
* [Data Models](#data-models)
3. [Gratitudes](#gratitudes)
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## Introduction
FluidB is a general-purpose, multimodel (vector,transactional, graph) database
that uses **Datalog** for query, is **embeddable** but can also handle huge amounts of data and concurrency,
FluidB is in memory, multimodel (vector,transactional, graph) database management system.
It use **Datalog** for query, is **embeddable** but can also handle huge amounts of data and concurrency,
and focuses on **graph** data and algorithms.
It supports **time travel** and it is **performant**!
It supports **time travel** and it is very **performant**!
<!-- ABOUT THE PROJECT -->
## About The Project
## About The Vector model
In vector model was added the next features: after HNSW vector search from 0.6, in 0.7 we bring to you MinHash-LSH for near-duplicate search, full-text
search, Json value support and more! See [here](https://docs.fluidB.org/en/latest/releases/v0.7.html) for more details.
search, Json.
Features in Vector model:

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