Transform your enterprise knowledge into intelligent action with Lineate’s Agentic AI systems, powered by Retrieval-Augmented Generation (RAG) and Knowledge Graphs. We design and deploy AI agents that reason, recall, and adapt—giving your teams natural language access to real-time, context-aware intelligence grounded in your internal data.
Modern AI tools like RAG and Knowledge Graphs solve critical challenges across regulated and data-intensive industries.
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We help you define agent personas that reflect your business roles (e.g., compliance assistant, campaign analyst, clinical triage agent). We scope use cases, identify tasks the agent should perform, and define interaction patterns (chat, search, decision support). This ensures the AI delivers targeted, measurable value.
We design and implement domain-specific knowledge graphs that model key business entities (e.g., customers, products, claims, campaigns) and their relationships. We integrate data from multiple sources, structure it semantically, and deploy graph databases (e.g., Neo4j, Amazon Neptune) to support deep reasoning and traceable answers.
We build Retrieval-Augmented Generation (RAG) pipelines that combine enterprise search and large language models. This includes ingestion and embedding of your internal content (PDFs, docs, FAQs, records), setting up a vector database (e.g., Pinecone, FAISS), and optimizing for semantic search and accuracy in the AI’s responses.
We deliver your AI agent through the interface that fits your workflow—web app, Slack, Teams, internal portal, or API. We also build custom UIs when needed, with user-level permissions and clear interaction design. The result: a smooth, intuitive user experience aligned with your team's needs.
We provide ongoing support to ensure your agent remains accurate, safe, and compliant. This includes logging, evaluation (LangSmith), fine-tuning, and fallback logic. We implement guardrails, audit trails, and permission frameworks to ensure outputs are verifiable, explainable, and aligned with your governance policies.
All pipelines are built with security-first principles, ensuring HIPAA, GDPR, and SOC 2 alignment where required. We enforce role-based access control, data redaction, and traceability to protect sensitive information and support audits.
We don't deploy a one-size-fits-all chatbot. We architect domain-specific AI agents using a modular pipeline:
We assess your data sources, regulatory requirements, and key use cases.
We model your domain’s entities, relationships, and hierarchies (people, products, docs, etc.).
We build pipelines using LangChain, LlamaIndex, or LangGraph to combine real-time retrieval and generative response.
We fine-tune or plug in the right LLM (e.g., GPT, Claude, or open source) with role- and scope-based constraints.
We deliver your assistant via Slack, webchat, internal portal, or custom UI.
We monitor accuracy, tune embeddings, and retrain based on usage.
