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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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