---
title: "Topic Extraction with Neo4j GDS for Better Semantic Search in RAG Applications"
url: https://daily.dev/posts/topic-extraction-with-neo4j-gds-for-better-semantic-search-in-rag-applications-pmqc2oapd
source_url: https://medium.com/neo4j/topic-extraction-with-neo4j-graph-data-science-for-better-semantic-search-c5b7f56c7715
type: article
source: "neo4j"
published: 2024-05-08T20:16:07.085Z
updated: 2024-05-09T08:20:02.615Z
tags: ["architecture", "neo4j", "vector-search"]
reading_time: 16
upvotes: 5
comments: 0
language: en
---

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# Topic Extraction with Neo4j GDS for Better Semantic Search in RAG Applications

**[neo4j](https://daily.dev/sources/neo4j)** · 16 min read · 5 upvotes · 0 comments

## Summary

Semantic search allows retrieval of documents based on the meaning of a query, even if the exact keywords are not present. Topic extraction from documents helps improve semantic search by identifying relevant topics. Neo4j with GDS provides a rich toolset for topic-based semantic search, allowing representation of documents and topics as a knowledge graph and enabling efficient searches.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/neo4j/topic-extraction-with-neo4j-graph-data-science-for-better-semantic-search-c5b7f56c7715>

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---

Tags: [#architecture](https://daily.dev/tags/architecture), [#neo4j](https://daily.dev/tags/neo4j), [#vector-search](https://daily.dev/tags/vector-search)

[View this post on daily.dev](https://daily.dev/posts/topic-extraction-with-neo4j-gds-for-better-semantic-search-in-rag-applications-pmqc2oapd)
