SEC EDGAR

ES|QL (Elasticsearch Query Language) is Elastic's piped query language for filtering, transforming, and analyzing data in Elasticsearch. Queries pass the output of one operation to the next, allowing pipelines such as reading from an index or data stream, sorting by a field, limiting results, aggregating, and performing time-series analysis. ES|QL can be used through Elasticsearch's _query REST endpoint and in Elastic interfaces including Kibana Discover, Dashboards, Dev Tools, Elastic Security, and Elastic Observability. The workshop also demonstrates its use for agentic retrieval, including parameterized queries, MCP tool calling, and inspection of search results and citations.

Deasy Labs is an enterprise platform for curating unstructured organizational data for AI applications. It connects to sources such as SharePoint and S3, OCRs, parses, and chunks files, then builds taxonomies, applies metadata, detects sensitive information, and evaluates file quality and relevance for a stated use case. Users can create data slices by topic, time, quality, relevance, or sensitivity and deliver them to RAG pipelines, search systems, and AI agents, while writing metadata back to source systems. Deasy continuously monitors connected sources, enriches new content, and refreshes datasets to reduce the effects of stale, duplicated, conflicting, irrelevant, or sensitive files. The platform provides APIs and a Python SDK, supports deployment in a customer's own environment, and allows use of customer-provided models and LLM endpoints. The company was acquired by Collibra, according to the video description.

Elasticsearch is a distributed search and analytics engine, scalable data store, and vector database developed by Elastic. It stores and indexes structured or unstructured text, numerical, geospatial, log, and metric data as JSON documents, which clients submit and query through REST APIs or language clients. Documents are organized in indexes and data streams and become searchable in near real time; supported search modes include full-text, vector, and hybrid retrieval for applications such as logs, metrics, application performance monitoring, security analysis, and retrieval-augmented generation. It can be used as a managed deployment through Elastic Cloud or installed and operated independently. The repository also documents a Docker-based local setup with Elasticsearch and Kibana for development and testing, and Kibana provides tools for exploring indexed data, filtering it, and creating visualizations and dashboards.

Securo is an open-source, self-hosted personal-finance manager developed by securo-finance. It keeps financial data on the user's infrastructure and provides multi-account management, transaction search and CSV export, imports for OFX, QIF, CAMT, and CSV files, categorization rules, recurring transactions, budgets, savings goals, asset valuation, reports, multi-currency conversion, and optional bank synchronization through Pluggy, Enable Banking, or SimpleFIN. The application supports multiple users, passkeys, TOTP two-factor authentication, and OIDC single sign-on. An optional AI-agent profile adds self-hosted chat over Securo data, tool use through MCP, multi-provider support, and a per-agent RAG knowledge base. It can be deployed with Docker or Podman, uses a FastAPI and PostgreSQL-based stack with Redis and Celery, and is licensed under AGPL-3.0.

Semgrep is an application security platform for static application security testing, open-source dependency analysis, secrets detection, and malware protection. Its analysis combines deterministic, rule-based scanning with AI reasoning about code context, naming, structure, and developer intent; findings can be surfaced and remediated through the CLI, CI/CD systems, IDEs, pull-request checks, APIs, webhooks, and supported AI-tool integrations. In the described workflow, Semgrep is used as a local verification gate alongside repository rules and pull-request review before a code change is considered complete.