LangChain Development Company in India
Build production LLM applications with LangChain. We develop RAG pipelines, AI agents, conversational systems, and enterprise AI products, with LangChain orchestration, LangGraph workflows, and LangSmith observability. From prototype to production-grade deployment.
Proof-First Delivery
Measurable Outcomes We Optimize For
What We Offer
Service Modules Built for Production
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
RAG Pipeline Development
Production RAG systems with LangChain — document loading, chunking strategies, embedding generation, vector store integration (Pinecone, Weaviate, Chroma, pgvector), retrieval optimization, and re-ranking for accurate, grounded AI responses.
LangChain Agent Development
AI agents that use tools, query databases, call APIs, and make decisions. Built with LangChain agent framework, custom tool definitions, structured output parsing, and error handling for reliable autonomous operation.
LangGraph Workflow Orchestration
Stateful, graph-based agent workflows with LangGraph. Multi-step processes with branching logic, human-in-the-loop nodes, state persistence, and cycle support for complex business automation.
LangSmith Integration & Observability
Production monitoring with LangSmith — trace every LLM call, evaluate output quality, track costs, debug chains, and run automated evaluation pipelines. Full visibility into your LLM application behavior.
Conversational AI with Memory
Chatbots and assistants with persistent memory — conversation history, user preferences, and session context. Built with LangChain memory modules and external stores for scalable, context-aware conversations.
LangChain to Production Migration
Take your LangChain prototype to production. Performance optimization, streaming responses, caching, rate limiting, error recovery, model fallbacks, and deployment on AWS/GCP/Azure with auto-scaling.
Delivery Proof
See Our Work in Action
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
Why Choose Boolean & Beyond
RAG Pipeline Development
Production RAG systems with LangChain — document loading, chunking strategies, embedding generation, vector store integration (Pinecone, Weaviate, Chroma, pgvector), retrieval optimization, and re-ranking for accurate, grounded AI responses.
LangChain Agent Development
AI agents that use tools, query databases, call APIs, and make decisions. Built with LangChain agent framework, custom tool definitions, structured output parsing, and error handling for reliable autonomous operation.
LangGraph Workflow Orchestration
Stateful, graph-based agent workflows with LangGraph. Multi-step processes with branching logic, human-in-the-loop nodes, state persistence, and cycle support for complex business automation.
LangSmith Integration & Observability
Production monitoring with LangSmith — trace every LLM call, evaluate output quality, track costs, debug chains, and run automated evaluation pipelines. Full visibility into your LLM application behavior.
FAQ
Frequently Asked Questions
Ready to Build with LangChain?
Tell us about your LLM use case — we'll design a LangChain architecture with the right chains, agents, and retrieval strategy for production deployment.