{"slug": "embedding-metadata-for-improved-retrieval", "title": "Embedding Metadata for Improved Retrieval", "summary": "Haystack released a tutorial on embedding metadata to improve document retrieval, demonstrating the use of InMemoryDocumentStore, InMemoryEmbeddingRetriever, and SentenceTransformers embedders. The method works best when embedded metadata like titles adds meaningful context for the embedding model.", "body_md": "`InMemoryDocumentStore`\n\n`InMemoryEmbeddingRetriever`\n\n`SentenceTransformersDocumentEmbedder`\n\n`SentenceTransformersTextEmbedder`\n\n⚠️ Note of caution: The method showcased in this tutorial is not always the right approach for all types of metadata. This method works best when the embedded metadata is meaningful. For example, here we’re showcasing embedding the “title” meta field, which can also provide good context for the embedding model.", "url": "https://wpnews.pro/news/embedding-metadata-for-improved-retrieval", "canonical_source": "https://haystack.deepset.ai/tutorials/39_embedding_metadata_for_improved_retrieval/", "published_at": "2026-06-17 00:00:00+00:00", "updated_at": "2026-06-24 12:18:56.917555+00:00", "lang": "en", "topics": ["machine-learning", "natural-language-processing", "ai-tools"], "entities": ["Haystack", "InMemoryDocumentStore", "InMemoryEmbeddingRetriever", "SentenceTransformersDocumentEmbedder", "SentenceTransformersTextEmbedder"], "alternates": {"html": "https://wpnews.pro/news/embedding-metadata-for-improved-retrieval", "markdown": "https://wpnews.pro/news/embedding-metadata-for-improved-retrieval.md", "text": "https://wpnews.pro/news/embedding-metadata-for-improved-retrieval.txt", "jsonld": "https://wpnews.pro/news/embedding-metadata-for-improved-retrieval.jsonld"}}