# Elasticsearch Projects at AI Tinkerers > Canonical HTML: https://aitinkerers.org/technologies/elasticsearch > Markdown URL: https://aitinkerers.org/technologies/elasticsearch.md > Technology record last updated: 2026-03-05T10:29:18Z > Generated: 2026-08-24T04:50:30Z Elasticsearch is a distributed, open-source search and analytics engine, built on Apache Lucene, optimized for near real-time data ingestion and high-speed query performance at scale. Elasticsearch is the core component of the Elastic Stack (ELK), functioning as a distributed, RESTful search and analytics engine. It stores all data as schema-less JSON documents within indices, using a highly efficient inverted index structure for millisecond-latency searches across petabytes of data. This architecture enables horizontal scalability by distributing indices across multiple nodes (shards), ensuring fault tolerance and high availability. Common use cases include full-text application search, log analytics (observability), security information and event management (SIEM), and powering AI-driven vector search applications. - Official technology site: https://www.elastic.co/elasticsearch/ - Public AI Tinkerers demos and talks: 5 - Result page: 1 of 1 ## Recent Public Talks and Demos ### [Building an Enterprise Digital Brain](https://valencia.aitinkerers.org/talks/rsvp_a3Hziwgp_h8) A Digital Brain is your company's private Wikipedia leveraged with AI. Document every SOP and team member know-how (structured, semi-structured and unstructured) and make it "legible". Then leverage AI to find precise answers quickly, turn them into SKILLS that AI agents can execute. All in one place. In the demo we will look at: - General content storage in a virtual file system - Find precise answers with agentic search - Write natural language skills the agent can execute - Customize chat UX with dynamic tools via skills (work-in-progress) - Event context: AI Tinkerers Valencia May Meetup — 2026-05-26 — Valencia - Public talk page: https://valencia.aitinkerers.org/talks/rsvp_a3Hziwgp_h8 ### [Más allá del RAG: Grafos universales para datos no universales](https://santiago.aitinkerers.org/talks/rsvp_Ic5kPKxkc3I) Hoy, la mayoría de los sistemas de information retrieval usan arquitecturas tipo RAG o GraphRAG: se basan en búsqueda semántica, embeddings y modelos de lenguaje para recuperar información relevante. - Event context: Estructura, Risa y Ecosistemas: el nuevo ADN de la IA Chilena — 2025-10-29 — Santiago - Public talk page: https://santiago.aitinkerers.org/talks/rsvp_Ic5kPKxkc3I ### [The AI Agent Feedback Loop](https://toronto.aitinkerers.org/talks/rsvp_Do816urC66Y) How Ada creates a feedback loop for its AI Agents to get better over time with more usage. - Event context: AI Tinkerers Toronto - May 2025 Meetup: AGENTS at Ada — 2025-05-22 — Toronto - Public talk page: https://toronto.aitinkerers.org/talks/rsvp_Do816urC66Y ### [Covariate Search](https://hong-kong.aitinkerers.org/talks/rsvp_bHTSKW0CfRo) The first practical application of covariate search (with the potential of revolutionizing the search industry) by introducing a new modality. In the demo I am showcasing how we can vectorize a set of keywords semantically and perform a search on other sets (this is not currently possible with semantic search). - Event context: AI Tinkerers - Hong Kong Meetup (December) - Inauguration — 2024-12-19 — Hong Kong - Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_bHTSKW0CfRo ### [Law and AI](https://prague.aitinkerers.org/talks/rsvp_HZdtriSs58U) What are the current issues with the law being processed by AI? How can RAG avoid or minimize hallucinations. - Event context: AI Tinkerers Prague October Meetup - Days of AI — 2024-10-15 — Prague - Public talk page: https://prague.aitinkerers.org/talks/rsvp_HZdtriSs58U ## Related Technologies - [Apache Lucene](https://aitinkerers.org/technologies/apache-lucene) ([Markdown](https://aitinkerers.org/technologies/apache-lucene.md)) — 2 public demos - [BM25](https://aitinkerers.org/technologies/bm25) ([Markdown](https://aitinkerers.org/technologies/bm25.md)) — 4 public demos - [Embeddings](https://aitinkerers.org/technologies/embeddings) ([Markdown](https://aitinkerers.org/technologies/embeddings.md)) — 22 public demos - [FAISS](https://aitinkerers.org/technologies/faiss) ([Markdown](https://aitinkerers.org/technologies/faiss.md)) — 17 public demos - [HNSW](https://aitinkerers.org/technologies/hnsw) ([Markdown](https://aitinkerers.org/technologies/hnsw.md)) — 7 public demos - [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 146 public demos - [Solr](https://aitinkerers.org/technologies/solr) ([Markdown](https://aitinkerers.org/technologies/solr.md)) — 2 public demos - [Terrier](https://aitinkerers.org/technologies/terrier) ([Markdown](https://aitinkerers.org/technologies/terrier.md)) — 2 public demos - [TF-IDF](https://aitinkerers.org/technologies/tf-idf) ([Markdown](https://aitinkerers.org/technologies/tf-idf.md)) — 3 public demos - [Anthropic](https://aitinkerers.org/technologies/anthropic) ([Markdown](https://aitinkerers.org/technologies/anthropic.md)) — 36 public demos - [ChatGPT](https://aitinkerers.org/technologies/chatgpt) ([Markdown](https://aitinkerers.org/technologies/chatgpt.md)) — 83 public demos - [ChatGPT for LLM models](https://aitinkerers.org/technologies/chatgpt-for-llm-models) ([Markdown](https://aitinkerers.org/technologies/chatgpt-for-llm-models.md)) — 1 public demo - [Covariate search](https://aitinkerers.org/technologies/covariate-search) ([Markdown](https://aitinkerers.org/technologies/covariate-search.md)) — 1 public demo - [Elasticsearch for hybrid search (text and vector)](https://aitinkerers.org/technologies/elasticsearch-for-hybrid-search-text-and-vector) ([Markdown](https://aitinkerers.org/technologies/elasticsearch-for-hybrid-search-text-and-vector.md)) — 1 public demo - [GraphRAG](https://aitinkerers.org/technologies/graphrag) ([Markdown](https://aitinkerers.org/technologies/graphrag.md)) — 13 public demos - [Hugging Face](https://aitinkerers.org/technologies/hugging-face) ([Markdown](https://aitinkerers.org/technologies/hugging-face.md)) — 41 public demos - [Language Models](https://aitinkerers.org/technologies/language-models) ([Markdown](https://aitinkerers.org/technologies/language-models.md)) — 4 public demos - [Mastra](https://aitinkerers.org/technologies/mastra) ([Markdown](https://aitinkerers.org/technologies/mastra.md)) — 7 public demos