{"repo":"elastic/elasticsearch-labs","free":true,"listed":false,"github":"https://github.com/elastic/elasticsearch-labs","clone":"git clone https://github.com/elastic/elasticsearch-labs.git","description":"Notebooks & Example Apps for Search & AI Applications with Elasticsearch","language":"Jupyter Notebook","stars":1119,"topics":["ai","chatgpt","chatlog","elastic","elasticsearch","genai","genaistack","openai","openai-chatgpt","search"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"Elasticsearch Examples & Apps Visit Search Labs for the latest articles and tutorials on using Elasticsearch for search and AI/ML-powered search experiences This repo contains executable Python notebooks, sample apps, and resources for testing out the Elastic platform: - Learn how to use Elasticsearch as a vector database to store embeddings, power hybrid and semantic search experiences. - Build use cases such as retrieval augmented generation (RAG), summarization, and question answering (QA). - Test Elastic's leading-edge, out-of-the-box capabilities like the Elastic Learned Sparse Encoder and reciprocal rank fusion (RRF), which produce best-in-class results without training or tuning. - Integrate with projects like OpenAI, Hugging Face, and LangChain, and use Elasticsearch as the backbone of your LLM-powered applications. Elastic enables all modern search experiences powered by AI/ML. - Bookmark or subscribe to Elasticsearch Labs on Github - Read our latest articles at elastic.co/search-labs Apps - Chatbot RAG App - Internal Knowledge Search - Relevance Workbench Python notebooks 📒 The notebooks folder contains a range of executable Python notebooks, so you can test these features out for yourself. Colab provides an easy-to-use Python virtual environment in the browser. Generative AI - question-answering.ipynb - chatbot.ipynb Playground RAG Notebooks Try out Playground in Kibana with the following notebooks: - OpenAI Example - Anthropic Claude 3 Example LangChain - questio","default_branch":null,"files":null,"tree":[],"storefront":"/r/elastic","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/elastic/elasticsearch-labs/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}