Update migrating_from_algolia_to_superlinked.md

Author: AruneshSingh

docs/articles/migrating_from_algolia_to_superlinked.md

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 # Migrating from Algolia to Superlinked
 
-**Meta Title:** Migrating from Algolia to Superlinked: Unlock Full Stack AI Search
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-**Meta Description:** Learn how to migrate from Algolia to Superlinked for advanced semantic search and unified production ready full stack AI search platform.
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-
-## Takeaways
-
-- Migrating from Algolia to Superlinked improves relevance by encoding text, images, and metadata into unified multimodal vectors.
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-- Superlinked supports dynamic query-time weighting so you can adjust attribute importance without re-indexing.
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-- Schema-based ingestion in Superlinked simplifies mapping Algolia records into structured, multimodal search spaces.
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-- Superlinked performs synchronous writes, making new data immediately searchable, unlike Algolia’s asynchronous ingestion.
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-- Superlinked’s multimodal search increases engagement by combining semantic understanding with structured attributes.
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 The gap between what users search for and what they actually find results in a **loss of genuine user engagement**.
 
 [Climatebase](https://superlinked.com/news/climatebase-increases-job-applications-by-50-percent-using-superlinked#:~:text=In%20May%202025%2C%20Climatebase%20replaced,precise%20filtering%20without%20sacrificing%20relevance), a climate jobs platform, experienced this firsthand with Algolia before migrating to Superlinked. Although Algolia’s feed served over three times more job search queries, Superlinked achieved double the bookmarking rate per query. This indicates that users find Superlinked's matches to be much more relevant and engaging.
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 ## Contributors
 
 * [**Haziqa Sajid**](https://www.linkedin.com/in/haziqa-sajid-22b53245/), author
-* [**Filip Makraduli**](https://www.linkedin.com/in/filipmakraduli/), editor
+* [**Filip Makraduli**](https://www.linkedin.com/in/filipmakraduli/), editor