Show HN: Multimodal Search Using GPT4o for Metadata Extraction and Hybrid Index

An index that combines multiple indexing techniques, e.g. vector search with more classical information retrieval techniques such as BM25. We found that they have different strengths: vector indexes are very good at getting synonyms and indirect matches, while classical term-based indexes are better for direct queries. Hybridization gives you the best of both worlds.