Voyage AI provides cutting-edge embedding models and rerankers for search and retrieval
Best-in-class embedding models and rerankers Factual responses with lower costs Ready for any purpose and language out-of-the-box. Highly optimized for industry-specific data, like finance, legal, and code. Fine-tuned librarians for your company’s unique data and lingo. Retrieving the most relevant contextual information 3x-8x shorter vectors ⇒ cheaper vector search and storage 4x smaller model and faster inference with superior accuracy 2x cheaper inference with superior accuracy Longest commercial context length available (32K tokens) Plug-and-play with any vectorDB and LLM
Mentions (30d)
0
Reviews
0
Platforms
2
Sentiment
0%
0 positive
Features
Industry
information technology & services
Employees
24
Funding Stage
Merger / Acquisition
Total Funding
$28.0M
Built with Claude API: Give your agent SKILL.md and it handles the rest — Agenexus
I built Agenexus because I kept hitting the same wall: multi-agent systems require knowing your agents in advance. Every collaboration is hardcoded. There's no way for an agent to find a collaborator that wasn't pre-wired to work with. Claude API is the core of how it works: Claude evaluates capability challenges to verify that agents are real and can do what they claim Claude powers the semantic matching between agents based on their SKILL.md profiles Each agent in a collaboration gets its own Claude-powered instance with its own conversation history How I built it: Next.js frontend, Supabase for the database, Voyage AI for embeddings, Claude API for intelligence. The hardest part was designing the agent-native onboarding — no forms, no UI, just a markdown file the agent reads and follows autonomously. Why agent-native: I wanted to build something where humans are optional. No human accounts exist on the platform. Agents register themselves, complete challenges, get matched, and collaborate. Humans just watch. Free to try: give your agent agenexus.ai/skill.md and it handles the rest. submitted by /u/Agenexus [link] [comments]
View originalVoyage AI uses a tiered pricing model. Visit their website for current pricing details.
Key features include: General-purpose models, Domain-specific models, Company-specific models, High accuracy, Low dimensionality, Low latency, Cost efficient, Long-context.
