Shypd.aiThe largest open index of AI toolselasticsearch-labs is a repository of notebooks and example apps for search and AI applications with Elasticsearch. It helps developers build hybrid and semantic search experiences, including RAG and QA.
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elasticsearch-labs is a comprehensive GitHub repository offering executable Python notebooks, sample applications, and resources for leveraging the Elastic platform in search and AI applications. It guides users on employing Elasticsearch as a vector database for storing embeddings and powering advanced search experiences like hybrid and semantic search. The repository supports building use cases such as retrieval augmented generation (RAG), summarization, and question answering (QA). It also showcases Elastic's out-of-the-box capabilities like the Elastic Learned Sparse Encoder and reciprocal rank fusion (RRF) for best-in-class results without extensive training. Furthermore, it demonstrates integrations with popular projects like OpenAI, Hugging Face, and LangChain, positioning Elasticsearch as a robust backbone for LLM-powered applications.
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