“Data pipelines”

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

Microsoft Research pipeline that builds knowledge graphs from text to improve LLM question answering.

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

Continuously fresh context for AI agents, with only changed data reprocessed.

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

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

Platform that turns PDFs, tables, forms and scans into structured, agent-ready data.

Python library and API that uses LLMs to extract structured data from websites and local documents.

Platform that uses LLM prompts to turn unstructured documents into structured JSON, deployable as an API or ETL pipeline.

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

Agentic document platform for parsing, extracting, splitting, classifying and editing documents.

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