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Hybrid Document Search with VLM-1 and ChromaDB

ChromaDB has emerged as one of the most popular databases for Vector Embedding and RAG flows. With VLM-1, we can go beyond simple CLIP embeddings and extract precise metadata from documents, which can be combined with the document vector to support natural language lookup with fine-grained metadata matching.

Run the Colab notebook here

MongoDBRate Limits