Our Services AI Agent Development with LangChain.js & LangGraph.js
AI Agent Development with LangChain.js & LangGraph.js
Techseria builds production-ready AI agents and RAG (Retrieval-Augmented Generation) pipelines for mid-market businesses using LangChain.js, LangGraph.js, and Qdrant. We work in JavaScript and Node.js throughout — no separate Python environment to integrate alongside your existing stack.Our AI implementations connect your internal knowledge, documents, and operational data to large language models via Azure OpenAI, enabling intelligent search, automated document processing, internal AI assistants, and multi-step agentic workflows that run reliably in production on Azure.Every engagement starts with a 2-week AI Discovery Workshop to assess your use case, audit your data, and define a fixed-fee build plan.
Benefits and Technologies
Key Benefits
- RAG pipelines built with LangChain.js and Qdrant — your documents and data become queryable by your team and systems
- Multi-step agentic workflows with LangGraph.js — AI processes that handle complex, stateful logic without brittle scripting
- Production-ready Node.js deployment on Azure — consistent with your existing JavaScript stack, no Python environment required
- Internal AI assistants for legal, financial, and operational knowledge bases — staff get accurate answers from your own documents
- Workflow automation — manual processes handed off to AI agents that trigger, route, and complete tasks reliably
- Azure OpenAI integration with your own data — commercial-grade LLM access with enterprise security and compliance
Technologies We Use
Considering an AI agent or RAG implementation? We start with a 2-week AI Discovery Workshop — we map your use case, assess your data, and deliver a fixed-fee build plan before any development begins.
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