weaviate/weaviate-examples

Demonstrates semantic search, multi-modal retrieval (text-to-image via CLIP), and specialized NLP tasks (NER, Q&A, Named Entity Recognition) across diverse vectorization modules including Transformers and image encoders. Examples span Docker Compose deployments, Python/Node.js clients, and GraphQL queries—showing integration with frameworks like Haystack and tools like Prometheus for monitoring. Covers both pre-vectorized data ingestion and custom embedding workflows using BERT, SBERT, and PyTorch BigGraph.

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