klotz: search* + vector database*

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  1. This tutorial demonstrates how to build a powerful document search engine using Hugging Face embeddings, Chroma DB, and Langchain for semantic search capabilities.

  2. A mapping of Vespa terminology to equivalent concepts in Elasticsearch, OpenSearch, and Solr.

  3. LangChain's ElasticsearchRetriever enables full flexibility in defining retrieval strategies, allowing users to experiment with different approaches.

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