“data engineering”

Open-source RAG engine with document ingestion, hybrid search and visual agent workflows.

Python framework for live data processing and RAG pipelines that run on a Rust engine.

Document parsing engine for LLMs and agents, turning PDFs, Office files and web pages into Markdown or JSON.

Open-source orchestration platform for data, AI and infrastructure workflows, defined in YAML.

Durable orchestration for data, ML and agent workflows, written as Python functions.

Managed Ray platform for distributed training, batch inference and data processing on GPU clusters.

Python framework for LLM-powered agents, built on the Dapr distributed systems runtime.

Open-source platform for search, ranking and ML inference over vectors, tensors, text and structured data.

Google Search API that returns SERP results in JSON, including organic results and a knowledge graph.

Context engine that indexes, retrieves and extracts entities from documents for agents.

Context layer that unifies business data, documents and conversations into governed context for agents.

Scrape Google and other search engines through an API that returns structured results.

Open-source, code-first platform for scripts, workflows, internal apps and AI agents.

Open-source vector database inside the OpenSearch search suite, for semantic search and RAG.