03 / Services / GenAI / RAG

LangChain DevelopmentTurn knowledge into answers.

LangChain-powered AI applications that connect LLMs with APIs, databases, vector stores and business logic to reason, retrieve and automate real workflows.

Area
GenAI / RAG
Stages
8
Related projects
1

01 / The problem

What usuallygets in the way.

Build AI applications grounded in your documents, with retrieval you can inspect, citations people can check, and evaluation built in.
01

Knowledge is spread across PDFs, wikis and inboxes

02

Chatbot demos hallucinate on real questions

03

No way to tell whether answers are getting better or worse

02 / What I build

Capabilitiesin this service.

01

Tool & API Integration

Connect LangChain systems with APIs, CRMs, databases, search tools, and external services for real-world business workflows.

02

RAG Pipelines

Create retrieval-augmented applications that use documents, vector databases, and retrievers for grounded and context-aware answers.

03

Memory & Context Management

Enable AI systems to maintain conversation history, task state, and contextual continuity across multi-step interactions.

04

AI Agents & Workflows

Develop LangChain-powered agents that can reason, choose tools, execute tasks, and automate complex workflows.

05

Optimization & Observability

Improve reliability with logging, tracing, debugging, evaluation, and workflow optimization for production-ready AI systems.

  • Ingestion, chunking and retrieval tuned on your content
  • Answers with citations and clear fallbacks
  • An evaluation set and quality dashboard

03 / How it works

From documents to cited answers

A typical architecture for this kind of work. Scroll to follow the flow, or hover a stage for detail.

  1. Documents

    PDFs, pages and tickets, with access rules preserved.

  2. Parsing

    Text, tables and structure extracted cleanly.

  3. Chunking

    Sections sized for meaning, not a fixed character count.

  4. Embeddings

    Vectors that capture what each chunk is about.

  5. Vector database

    Fast similarity search with metadata filters.

  6. Retrieval

    Hybrid search and re-ranking pick the best context.

  7. LLM

    A prompt that answers only from retrieved context.

  8. Answer + citations

    Sources shown, so people can verify.

04 / In depth

The details.

Unlocking AI Potential with Expert LangChain Development

As large language models become more powerful, businesses need more than simple chatbots - they need intelligent systems that can reason, retrieve information, use tools, and automate real workflows. I build LangChain-powered AI applications that connect LLMs with APIs, databases, vector stores, and business logic to create scalable, production-ready solutions.

My Expertise in LangChain Development

I specialize in building custom LangChain applications, AI agents, and retrieval workflows for businesses across legal tech, healthcare, e-commerce, SaaS, and other knowledge-driven industries. My work focuses on turning large language models into practical systems that can retrieve information, use tools, maintain context, automate tasks, and support real business operations with reliability and scale.

  • 🧠 LLM Applications
  • 🔗 Tool & API Integration
  • 📚 RAG Pipelines
  • 🗂 Memory & Context Handling
  • 🤖 AI Agents & Workflows
  • ⚙️ Observability & Optimization

LLM Applications

Build intelligent applications powered by LLMs for chat, summarization, extraction, classification, and reasoning-based tasks.

My Expertise in Data & AI Industry

From raw data to AI-powered decisions - I help businesses implement end-to-end machine learning workflows, analytics dashboards, and automation pipelines.

Hire Me

Remote Data & AI Solutions

I’m a freelance Data Science and ML Engineer with 7+ years of experience transforming data into actionable insights. I specialize in building intelligent solutions, custom ML models, and scalable pipelines for startups and SMEs worldwide.

  • United States (Remote Projects)
  • Germany (AI Consultancy)
  • EUROPE (Remote Projects)
  • Remote - Available Worldwide

You Can find me here

As an independent Data & AI Engineer, I help companies unlock the full potential of their data. From predictive analytics to workflow automation, I offer strategic and technical support that drives real impact.

Book Free Consultation View Portfolio

05 / Tech stack

Tools I usefor this work.

  • LangChain
  • LlamaIndex
  • OpenAI
  • Claude
  • Pinecone
  • FAISS
  • FastAPI

06 / Related work

Proof,not promises.

Open source
RAG

Medical RAG ChatbotLangChain + Pinecone + Flask

AI-Powered Medical Knowledge Assistant Retrieval-Augmented Generation (RAG) Chatbot

  • Python
  • LangChain
  • Pinecone
  • OpenAI
  • +2
Showcase

Bird Disease Classification (MLOps)

Built an end-to-end deep learning MLOps pipeline for bird disease classification using TensorFlow/Keras, PyTorch, OpenCV for image processing, FastAPI for model serving, and Docker for containerization. Implemented automated training pipelines, model versioning, and deployment workflows.

Showcase

U.S. Visa Approval Prediction (MLOps)

Developed a complete MLOps pipeline for visa approval prediction using Python, FastAPI, Docker, AWS (EC2, ECR, S3), XGBoost, and CatBoost. Implemented automated model training, versioning, deployment, and monitoring with CI/CD integration for production-grade machine learning.

Showcase

Uber Data Analytics Pipeline

Built a robust time-series forecasting solution with over 90% accuracy using Python and statistical modeling.It enabled a growing online retailer to better manage inventory, reduce overstock, and forecast seasonal demand shifts.

Showcase

CareSage - RAG Medical Chatbot

Developed an intelligent medical chatbot using Retrieval-Augmented Generation (RAG) with Flask, LangChain, Pinecone vector database, OpenAI embeddings, and sentence-transformers. The system processes medical PDFs using PyPDF to provide accurate, context-aware responses for healthcare queries with citation support.

Showcase

n8n Workflow Automation

Built 8 comprehensive automation workflows using n8n platform integrated with Retell AI, GoHighLevel, Twilio, OpenAI GPT-4, and PostgreSQL. Projects included AI Voice Agent for customer service, Multi-Channel Communication Hub, Lead Qualification System, CRM Sync Automation, Content Generation Pipeline, Customer Onboarding Workflow, Voice-Based Appointment Scheduler, and BI Reporting Dashboard.

GenAI / RAG

Need LangChain Development?Let’s scope it together.

Tell me about the goal, the data and the constraints. I’ll reply with questions and a practical first step.

Let’s chat