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* First draft of the code search tutorial * Remove the docstring of the textify function * Self-review changes * Fix image path * Add notebook link * Add code search to the "Demos" section * Update the code search image * Update qdrant-landing/content/demo/demo-4.md Co-authored-by: Mike Jang <michael.jang@qdrant.io> * Apply changes from the code review * Extend the jina embeddings description * Update the notebook link --------- Co-authored-by: Mike Jang <michael.jang@qdrant.io>
590 B
590 B
draft, title, short_description, description, preview_image, link, weight, sitemapExclude
| draft | title | short_description | description | preview_image | link | weight | sitemapExclude |
|---|---|---|---|---|---|---|---|
| false | Semantic code search | Searching over Qdrant source code using semantic search | It can be difficult to go through an unknown codebase. This demo shows how to implement a semantic search application for code search tasks, with two neural encoders. These encoders are a general-purpose sentence transformer and a code-specific model. This supports both natural and code-like queries, which covers a broad range of interactions. | /demo/code-search.png | https://code-search.qdrant.tech/ | 4 | True |