“Documentation”

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

Open-source AI memory platform that turns documents, code and conversations into a knowledge graph for agents.

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

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

AI parsing tool that turns complex documents, tables and charts into clean markdown at scale.

Memory and context engine for AI that extracts facts, keeps user profiles and feeds context back to agents.

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

Build vector databases on Redis, with vector search combined with exact-match and full-text search.

Search API that makes unstructured data, from PDFs to video, searchable for agents and AI apps.

Open-source data infrastructure for AI that stores embeddings and runs vector, full-text and metadata search.

Azure search service with full-text, vector, hybrid and multimodal retrieval for RAG and agents.