Open-source ColPali recipes for multimodal document retrieval.
Best for: ML engineers building multimodal RAG systems for enterprise documents, Data scientists fine-tuning vision-language models on domain-specific data
Self-hosted open-source AIaaS with RAG, agents, visual logic, and a unified API.
Best for: Organizations wanting a self-hosted AI stack with full data control, Developers building multi-project AI apps with RAG, agents, and visual logic
Build RAG assistants from company docs with API, MCP, or widget.
Best for: Sales teams automating RFP responses from past tenders and technical docs, Marketing teams building competitive intelligence from competitor reports
Portable local-first vector database for edge, on-prem, and hybrid AI workloads.
Best for: Edge AI engineers building autonomous systems, robotics, IoT with local vector search, Manufacturing teams running AI in disconnected factory environments
Ontology-first Graph RAG platform turning messy knowledge into reusable packs.
Best for: Researchers building private evidence graphs from papers and reports, Domain experts packaging expertise into sellable ontology packs via marketplace
Build and deploy vertical AI agents with no-code ease and enterprise governance.
Best for: Non-technical teams wanting to build AI agents quickly without coding, Enterprises needing vertical-specific agents with domain knowledge and private data
Declarative logic runtime for building neuro-symbolic AI with knowledge graphs.
Best for: AI researchers building neuro-symbolic systems for reasoning and learning, Developers adding logical constraints to LLM outputs to reduce hallucinations
Memory as a POSIX filesystem for AI agents with semantic grep.
Best for: Developers building autonomous agents needing persistent memory via filesystem, AI researchers managing large document corpuses with semantic search
Memory database for AI agents with cognitive features like contradiction detection and pain warnings
Best for: AI agent developers needing persistent, structured memory across sessions, Developers of personal AI assistants that learn from user conversations over time
