Larkup

Larkup is an AI infrastructure platform that provides production-ready retrieval-augmented generation (RAG) capabilities for developers building intelligent applications. It offers automated data ingestion, scalable vector storage, and intelligent retrieval engines designed to integrate with multiple AI models and vector databases like AWS, Azure, and OpenAI. The platform supports ingesting and indexing various data sources including documents, videos, images, audio, websites, and Notion content.

Developers building secure, intelligent systems in minutes can use Larkup to index videos, images, audio, websites, and Notion into a unified knowledge base. The platform allows users to build custom AI agents and move from idea to production quickly. It is designed for teams that want to avoid wrestling with fragmented open source libraries and embedding pipelines while enforcing privacy.

Users can get started by trying Larkup Cloud or reading the documentation available on the website. The platform exposes deployment channels such as website widgets, Slack, WhatsApp, Telegram, and Discord bots to connect intelligence instantly. Developers can also access a playground and marketplace to explore connections with various models and vector stores.

Larkup claims to handle the complexity of automated data ingestion, indexing, and intelligent retrieval into one cohesive system. This approach allows developers to focus on building their custom AI fast and securely without piecing together fragile infrastructure. The platform provides a production-ready RAG pipeline out of the box.

The platform supports ingesting and indexing a wide range of data sources such as documents, videos, images, audio, websites, and Notion content. It automatically chunks, embeds, and indexes data with production-grade reliability. Users can upload files, crawl websites, or connect APIs to ingest any data source.

Larkup integrates with multiple AI models and vector databases including offerings from AWS, Azure, Cohere, OpenAI, and Pinecone. It also exposes deployment channels such as website widgets, Slack, WhatsApp, Telegram, and Discord bots. The platform supports connections to services like PostgreSQL, Notion, CSV/Excel, PDFs, and various web scrapers.

The platform claims a retrieval accuracy of 96%+ and a relevance score of 0.89+. It also states a latency P95 response of 92% and 99.9% uptime. These metrics are presented as part of the performance measures users can track across their AI pipeline.

Larkup provides full visibility into the AI pipeline from ingestion throughput to retrieval accuracy. This includes tracking accuracy, latency, and relevance across query types. Users can compare semantic, hybrid, and lexical search to find the optimal strategy for their data.

The platform offers a RAG pipeline with end-to-end retrieval-augmented generation capabilities. It features configurable chunking, embedding, and indexing strategies. Additionally, it includes an AI chat interface that ships a polished chat UI with grounded answers and source citations.

Larkup emphasizes building secure AI systems with privacy built in. The platform ensures data isolation and protection while allowing developers to deploy custom RAG servers. It aims to make custom AI fast to build and easy to deploy.

The platform is designed to help teams ship intelligent systems with confidence by handling the complexity of ETL pipelines. It allows developers to enforce privacy and avoid the nightmare of maintaining complex ETL pipelines. The goal is to build reliable AI applications over private data efficiently.

Larkup provides a safety center and support resources for users. The platform also includes a community help center and legal information such as privacy policy and terms of service. Users can find detailed documentation and guides on the website.

The platform allows users to connect their AI to any channel instantly, including Slack, Telegram, and internal tools. It enables developers to build, index, secure, and launch their intelligent agents with built-in hybrid search. The system supports accurate citations and ensures data is isolated and protected.

Larkup is described as the operating system for intelligent applications, focusing on production-ready RAG infrastructure and retrieval engines. It aims to be the foundation for fully autonomous workflows that securely reason over enterprise knowledge. The platform continues to evolve to support more advanced agent pipelines.

You can reach Larkup by e-mail at hello@larkup.de.