“documentation”

API that parses PDFs and images into grounded Markdown and extracts typed fields with a schema.

Open-source document conversion library that turns PDFs, Office files and audio into structured data.

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

Document processing infrastructure for AI agents that parses, extracts, splits and verifies documents.

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

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

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

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

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

Context layer for building AI agents that reason over technical documents and institutional knowledge.

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.

Open-source document intelligence API that converts PDFs, Office files and images into RAG-ready chunks.

Free, self-hostable metasearch engine that aggregates results from many search services without tracking users.

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.

Converts any URL into LLM-friendly input and searches the web, through the r.jina.ai and s.jina.ai endpoints.

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

AI cloud platform for GPU compute, training and serverless inference, with Forge tools for the model lifecycle.

Search API and agents for knowledge work, returning passages with links to filings, papers, trials and the web.

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.