Build image search and query with natural language with vision model CLIP
Indexing images with CocoIndex and Vision Model CLIP for efficient image search and natural language querying
Indexing images with CocoIndex and Vision Model CLIP for efficient image search and natural language querying
Build image search index with ColPali and FastAPI
Extract, embed, and index both text and images from PDFs for advanced multimodal search. Leverage SentenceTransformers and CLIP for unified vector search, complete with metadata linkage, thumbnails, and full traceability.
Build a visual document indexing pipeline using ColPali to index scanned documents, PDFs, academic papers, presentation slides, and standalone images — all mixed together with charts, tables, and figures - into the same vector space.
Covers extracting and embedding faces from images, structuring data for visual search, and exporting to a vector database for face similarity queries.