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Build a superior context layer for AI agents

Empower your AI agents through the leading open-source RAG engine, delivering reliable context and an integrated agent platform, built for enterprise.

ETL for AI data

Harness our built-in ingestion pipeline to cleanse and process multi-format data, structuring it into rich semantic representations for superior retrieval.

ImagesDocumentsData sourcesDataset

High-precision hybrid search

Combine vector search, BM25, and custom scoring with advanced re-ranking to deliver unmatched answer accuracy and context relevance.

VectorFull-textTensor

Unified AI agent orchestration

Build powerful agents in an all-in-one platform, seamlessly integrating RAG, tools, and MCPs within visual workflows.

Model Context ProtocolMCPIngestion pipelineModelsRetrievalDataset
Web search
Chat

Smart solutions for every industry

Equity investment research

This workflow automates company data collection and consolidates financial metrics with research insights. Enables advanced stock analysis through autonomous planning and multi-agent orchestration.

It starts by identifying stock tickers from user queries, then aggregates insights from external authoritative sources and internal records. Ultimately, these qualitative insights are combined with financial metrics to yield a complete investment report.

Search agent
Web search
ConditionHTTPCodeReportAnalyze agentModel Context ProtocolMCPSubagentRetrievalReport agent

Legal precedent analysis

This workflow provides structured precedent analysis by examining similar legal cases across public sources and internal datasets.

Upon case input, key attributes—such as jurisdiction and legal issues—are automatically extracted to formulate search queries and retrieve comparable precedents. The results are then consolidated into a structured analysis reflecting how similar cases were resolved. This workflow automates company data collection and consolidates financial metrics with research insights. Enables advanced stock analysis through autonomous planning and multi-agent orchestration.

Formulate agentHTTPIterationHTTPAgentRetrieval agentRetrievalReport agentReport

Manufacturing maintenance support

This workflow provides structured maintenance guidance by accurately sourcing content from internal manuals, with external references used as supplementary support.

When a task is entered, the workflow first validates input sufficiency—ensuring essential details are present—then extracts standard protocols from internal maintenance manuals, integrates supplementary external technical data, and produces clear execution instructions.

Clarify agentRetrievalHTTPReference agentInstruct agentMessage

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