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hachi reviews and mentions
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Indexing iCloud Photos with AI Using LLaVA and Pgvector
I think image-encoder from CLIP (even smallest variant ViT B/32) is good enough to capture a lot of semantic information to allow natural language query once images are indexed. A lot of work actually goes into integrating with existing meta-data like local-directory, date-time to augment NL query and re-ranking the results.
I work on such a tool[0] to enable end to end indexing of user's personal photos and recently added functionality to index Google Photos too!
[0] https://github.com/eagledot/hachi
- Hachi – Offline Semantic Search
- Hachi – Natural language search for videos and images
- Trashcan – web based service for indexing scientific papers, or other documents
- Hachi: Semantic search for videos and images using Clip
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Show HN: Self-hosted natural language search for videos and images
Semantic search is powered by CLIP architecture.
We already have some features on the roadmap and are interested in hearing your feedback/thoughts.
Github: <https://github.com/ramanlabs-in/hachi>
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A note from our sponsor - InfluxDB
www.influxdata.com | 13 May 2024
Stats
eagledot/hachi is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.
The primary programming language of hachi is Python.
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