LangChain Development Services
Build production-ready LLM applications with LangChain. Expert development for RAG systems, AI agents, chatbots, and complex LLM workflows.
Why LangChain?
Faster Development
Ship production LLM apps 4-10x faster with pre-built chains and integrations.
Integrations
Connect to 500+ LLMs, vector databases, tools, and APIs out-of-the-box.
Reliability
Production-grade reliability with error handling, retries, and monitoring.
LangChain Use Cases
RAG (Retrieval Augmented Generation)
Build intelligent Q&A systems that answer questions from your documents with source citations and 90%+ accuracy.
- ✓ Document loaders for 50+ file types (PDF, DOC X, CSV, JSON)
- ✓ Text splitters for optimal chunking strategies
- ✓ Vector store integrations (Pinecone, Weaviate, Qdrant, Milvus)
- ✓ Hybrid search (semantic + keyword)
- ✓ Multi-query and contextual compression
AI Agents
Create autonomous agents that use tools, make decisions, and complete complex multi-step tasks.
- ✓ ReAct agents (reasoning + acting)
- ✓ Tool calling (search, calculator, APIs, databases)
- ✓ Plan-and-execute agents for complex tasks
- ✓ Custom tool creation and integration
- ✓ Agent memory and conversation history
Conversational AI & Chatbots
Build context-aware chatbots with memory, personality, and integration to your business systems.
- ✓ Conversation memory (buffer, summary, entity)
- ✓ Multi-turn context management
- ✓ Custom system prompts and personalities
- ✓ Integration with Slack, Discord, WhatsApp, web
- ✓ Streaming responses for better UX
Data Analysis & Extraction
Extract structured data from unstructured text, analyze documents, and generate insights at scale.
- ✓ Structured output parsing (JSON, Pydantic models)
- ✓ Document summarization and analysis
- ✓ Entity extraction and classification
- ✓ SQL query generation from natural language
- ✓ Batch processing pipelines
Our LangChain Expertise
LangChain Components
- • Chains: Sequential and router chains
- • Agents: ReAct, plan-execute, custom
- • Memory: Buffer, summary, vector store
- • Tools: 50+ pre-built + custom tools
- • Callbacks: Logging, monitoring, streaming
Production Stack
- • LangSmith for debugging and monitoring
- • LangServe for API deployment
- • FastAPI/Flask for web services
- • Docker + Kubernetes for scaling
- • Redis for caching and rate limiting
Pricing & Timeline
Project Pricing
- • Simple RAG System: ₹8-15L (4-6 weeks)
- • AI Chatbot: ₹12-25L (6-8 weeks)
- • AI Agent Platform: ₹25-60L (8-12 weeks)
- • Enterprise Solution: ₹60L-2Cr (3-6 months)
What's Included
- ✓ Architecture design and planning
- ✓ Full development and testing
- ✓ Vector database setup and optimization
- ✓ Deployment and monitoring setup
- ✓ 3 months post-launch support
Case Studies
Legal Document Q&A System
Built RAG system for law firm to answer questions from 10K+ legal documents.
Customer Support AI Agent
Deployed agent with tools to check orders, process returns, answer FAQs.
Ready to Build with LangChain?
Get a free consultation and project estimate for your LangChain application.
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