Octen
Octen is a real-time search and retrieval infrastructure platform designed specifically for AI applications. It provides a Web Search API that enables large language models, AI agents, copilots, and chatbots to access the latest web information with sub-100ms latency and high reliability. Unlike traditional search engines that return sequential results from a single query, Octen breaks down queries into multiple concurrent sub-queries, delivering more comprehensive and faster retrieval. Beyond text search, Octen offers multimodal search capabilities that understand images and videos alongside text. The platform also includes a complete retrieval stack: state-of-the-art embedding models (including Octen-Embedding-8B and VL Embedding) that rank at the top of retrieval benchmarks, an Extract API that converts any URL into clean markdown with intent-focused highlights, and a Model Gateway for streamlined access to these capabilities. Octen is engineered for developers building production AI systems that require live, accurate, and context-rich data from the web. With real-time indexing and enterprise-grade reliability, it aims to be the foundational search layer for the next generation of AI-powered applications, supporting use cases from conversational search to complex agent workflows.
- Category
- AI Search Engine
- Pricing
- Unknown
Problem solved
Octen solves the challenge of grounding AI models with current, relevant web data. Traditional search APIs are often slow, not optimized for LLM consumption, and return sequential results that limit agent efficiency. Octen provides real-time indexing, concurrent sub-queries, low-latency retrieval, and multimodal understanding, enabling AI systems to reason with the world's latest information accurately and reliably.
Use cases
- Powering real-time web search for AI chatbots
- Retrieving latest news and data for LLM grounding
- Building AI agents that need concurrent sub-query search
- Embedding text and multimodal content for retrieval
- Extracting clean markdown from web pages for AI processing
- Adding image and video search to AI applications
Audience
- Developers
- ML Engineers
- Data Scientists
- Enterprise
- Startups
Pros
- Real-time indexing and sub-100ms latency
- Concurrent sub-query search for faster, broader results
- Multimodal search for images and videos
- State-of-the-art embedding models (top of RTEB and MMEB-v2)
- Enterprise-grade reliability
Cons
- Pricing not publicly listed
- Requires API integration and development effort
- Potential vendor lock-in for search infrastructure
- Multimodal search is in early access
- No self-hosted option mentioned
Official website: https://octen.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/octen