Generative AI changes (#14413)

* Update default genai prompt

* Update docs

* improve wording

* clarify wording
This commit is contained in:
Josh Hawkins
2024-10-17 10:15:44 -06:00
committed by GitHub
parent 8ac4b001a2
commit b299652e86
3 changed files with 22 additions and 15 deletions
+6 -5
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@@ -50,10 +50,11 @@ semantic_search:
- Configuring the `large` model employs the full Jina model and will automatically run on the GPU if applicable.
- Configuring the `small` model employs a quantized version of the model that uses much less RAM and runs faster on CPU with a very negligible difference in embedding quality.
## Usage
## Usage and Best Practices
1. Semantic search is used in conjunction with the other filters available on the Search page. Use a combination of traditional filtering and semantic search for the best results.
2. Because of how the AI models Frigate uses have been trained, the comparison between text and image embedding distances generally means that results matching `description` will appear first, even if a `thumbnail` embedding may be a better match. Play with the "Search Type" setting to help find what you are looking for. Note that if you are generating descriptions for specific objects or zones only, this may cause search results to prioritize the objects with descriptions even if the the ones without them are more relevant.
3. Make your search language and tone closely match your descriptions. If you are using thumbnail search, **phrase your query as an image caption**. For example "red car" will not work as well as "red sedan driving down a residential street on a sunny day".
4. Semantic search on thumbnails tends to return better results when matching large subjects that take up most of the frame. Small things like "cat" tend to not work well.
5. Experiment! Find a tracked object you want to test and start typing keywords and phrases to see what works for you.
2. Use the thumbnail search type when searching for particular objects in the scene. Use the description search type when attempting to discern the intent of your object.
3. Because of how the AI models Frigate uses have been trained, the comparison between text and image embedding distances generally means that with multi-modal (`thumbnail` and `description`) searches, results matching `description` will appear first, even if a `thumbnail` embedding may be a better match. Play with the "Search Type" setting to help find what you are looking for. Note that if you are generating descriptions for specific objects or zones only, this may cause search results to prioritize the objects with descriptions even if the the ones without them are more relevant.
4. Make your search language and tone closely match exactly what you're looking for. If you are using thumbnail search, **phrase your query as an image caption**. Searching for "red car" may not work as well as "red sedan driving down a residential street on a sunny day".
5. Semantic search on thumbnails tends to return better results when matching large subjects that take up most of the frame. Small things like "cat" tend to not work well.
6. Experiment! Find a tracked object you want to test and start typing keywords and phrases to see what works for you.