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docs: update ArcadeDB integration overview (#423)
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integrations/arcadedb.md

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- [Overview](#overview)
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- [Installation](#installation)
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- [Usage](#usage)
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- [Writing documents](#writing-documents)
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- [Retrieving documents](#retrieving-documents)
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- [More examples](#more-examples)
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- [License](#license)
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## Overview
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An integration of [ArcadeDB](https://arcadedb.com) with [Haystack](https://docs.haystack.deepset.ai/docs/intro) by [ArcadeData](https://arcadedata.com).
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Most RAG setups need separate backends for documents, vectors, and metadata search. ArcadeDB replaces all three in a single multi-model database:
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ArcadeDB is a multi-model database that combines document storage, HNSW vector search, and SQL-based metadata filtering:
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- **Document storage** — vertex-based records with flexible MAP metadata
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- **HNSW vector search** — native approximate nearest neighbor index via `vectorNeighbors()` (cosine, euclidean, dot product)

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