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Fix styling and misalignment on drift docs (#1373)
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AlonsoGuevara authored Nov 6, 2024
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39 changes: 19 additions & 20 deletions docs/blog_posts.md
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<div class="grid cards" markdown>

- [:octicons-arrow-right-24: **GraphRAG: Unlocking LLM discovery on narrative private data**](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/)

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<h6>Published February 13, 2024
<div class="grid cards" markdown>

By [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager</h6>
- [:octicons-arrow-right-24: __GraphRAG: Unlocking LLM discovery on narrative private data__](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/)

- [:octicons-arrow-right-24: **GraphRAG: New tool for complex data discovery now on GitHub**](https://www.microsoft.com/en-us/research/blog/graphrag-new-tool-for-complex-data-discovery-now-on-github/)
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<h6>Published February 13, 2024

***
By [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager</h6>


<h6>Published July 2, 2024
- [:octicons-arrow-right-24: __GraphRAG: New tool for complex data discovery now on GitHub__](https://www.microsoft.com/en-us/research/blog/graphrag-new-tool-for-complex-data-discovery-now-on-github/)

By [Darren Edge](https://www.microsoft.com/en-us/research/people/daedge/), Senior Director; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect</h6>
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<h6>Published July 2, 2024

- [:octicons-arrow-right-24: **GraphRAG auto-tuning provides rapid adaptation to new domains**](https://www.microsoft.com/en-us/research/blog/graphrag-auto-tuning-provides-rapid-adaptation-to-new-domains/)
By [Darren Edge](https://www.microsoft.com/en-us/research/people/daedge/), Senior Director; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect</h6>

***

<h6>Published September 9, 2024
- [:octicons-arrow-right-24: __GraphRAG auto-tuning provides rapid adaptation to new domains__](https://www.microsoft.com/en-us/research/blog/graphrag-auto-tuning-provides-rapid-adaptation-to-new-domains/)

By [Alonso Guevara Fernández](https://www.microsoft.com/en-us/research/people/alonsog/), Sr. Software Engineer; Katy Smith, Data Scientist II; [Joshua Bradley](https://www.microsoft.com/en-us/research/people/joshbradley/), Senior Data Scientist; [Darren Edge](https://www.microsoft.com/en-us/research/people/daedge/), Senior Director; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; [Sarah Smith](https://www.microsoft.com/en-us/research/people/smithsarah/), Senior Program Manager; [Ben Cutler](https://www.microsoft.com/en-us/research/people/bcutler/), Senior Director; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect
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<h6>Published September 9, 2024

- [:octicons-arrow-right-24: **Introducing DRIFT Search: Combining global and local search methods to improve quality and efficiency**](https://www.microsoft.com/en-us/research/blog/introducing-drift-search-combining-global-and-local-search-methods-to-improve-quality-and-efficiency/)
By [Alonso Guevara Fernández](https://www.microsoft.com/en-us/research/people/alonsog/), Sr. Software Engineer; Katy Smith, Data Scientist II; [Joshua Bradley](https://www.microsoft.com/en-us/research/people/joshbradley/), Senior Data Scientist; [Darren Edge](https://www.microsoft.com/en-us/research/people/daedge/), Senior Director; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; [Sarah Smith](https://www.microsoft.com/en-us/research/people/smithsarah/), Senior Program Manager; [Ben Cutler](https://www.microsoft.com/en-us/research/people/bcutler/), Senior Director; [Steven Truitt](https://www.microsoft.com/en-us/research/people/steventruitt/), Principal Program Manager; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect</h6>

***
- [:octicons-arrow-right-24: __Introducing DRIFT Search: Combining global and local search methods to improve quality and efficiency__](https://www.microsoft.com/en-us/research/blog/introducing-drift-search-combining-global-and-local-search-methods-to-improve-quality-and-efficiency/)

<h6>Published October 31, 2024
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<h6>Published October 31, 2024

By Julian Whiting , Senior Machine Learning Engineer; Zachary Hills , Senior Software Engineer; [Alonso Guevara Fernández](https://www.microsoft.com/en-us/research/people/alonsog/), Sr. Software Engineer; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; Adam Bradley , Managing Partner, Strategic Research; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect
By Julian Whiting, Senior Machine Learning Engineer; Zachary Hills , Senior Software Engineer; [Alonso Guevara Fernández](https://www.microsoft.com/en-us/research/people/alonsog/), Sr. Software Engineer; [Ha Trinh](https://www.microsoft.com/en-us/research/people/trinhha/), Senior Data Scientist; Adam Bradley , Managing Partner, Strategic Research; [Jonathan Larson](https://www.microsoft.com/en-us/research/people/jolarso/), Senior Principal Data Architect</h6>

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6 changes: 3 additions & 3 deletions docs/query/drift_search.md
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Expand Up @@ -11,9 +11,9 @@ DRIFT search (Dynamic Reasoning and Inference with Flexible Traversal) builds up
<p align="center">
<img src="../../img/drift-search-diagram.png" alt="Figure 1. An entire DRIFT search hierarchy highlighting the three core phases of the DRIFT search process." align="center" />
</p>
<p align="center"><i>
Figure 1. An entire DRIFT search hierarchy highlighting the three core phases of the DRIFT search process. A (Primer): DRIFT compares the user’s query with the top K most semantically relevant community reports, generating a broad initial answer and follow-up questions to steer further exploration. B (Follow-Up): DRIFT uses local search to refine queries, producing additional intermediate answers and follow-up questions that enhance specificity, guiding the engine towards context-rich information. A glyph on each node in the diagram shows the confidence the algorithm has to continue the query expansion step. C (Output Hierarchy): The final output is a hierarchical structure of questions and answers ranked by relevance, reflecting a balanced mix of global insights and local refinements, making the results adaptable and comprehensive.</i></p>
<p align="center">
<p align="center"><i><small>
Figure 1. An entire DRIFT search hierarchy highlighting the three core phases of the DRIFT search process. A (Primer): DRIFT compares the user’s query with the top K most semantically relevant community reports, generating a broad initial answer and follow-up questions to steer further exploration. B (Follow-Up): DRIFT uses local search to refine queries, producing additional intermediate answers and follow-up questions that enhance specificity, guiding the engine towards context-rich information. A glyph on each node in the diagram shows the confidence the algorithm has to continue the query expansion step. C (Output Hierarchy): The final output is a hierarchical structure of questions and answers ranked by relevance, reflecting a balanced mix of global insights and local refinements, making the results adaptable and comprehensive.</small></i></p>


DRIFT Search introduces a new approach to local search queries by including community information in the search process. This greatly expands the breadth of the query’s starting point and leads to retrieval and usage of a far higher variety of facts in the final answer. This addition expands the GraphRAG query engine by providing a more comprehensive option for local search, which uses community insights to refine a query into detailed follow-up questions.

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