Langchain Development Company

Langchain empowers developers to build context-aware, multi-step applications using large language models (LLMs). At Tatvaflow, we utilize Langchain to create intelligent workflows, dynamic agents, and advanced automation pipelines that integrate seamlessly with APIs, databases, and other tools—turning AI into real-world solutions.

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Langchain Development Services for Building AI-Powered Workflows

Our Langchain expertise helps you build powerful, intelligent, and adaptable applications that fully leverage the capabilities of modern LLMs.

LLM App Development

We build custom AI applications using Langchain that perform intelligent reasoning, content generation, and language understanding with seamless data source integration.

Agent-Based Automation

Our team creates autonomous agents that make decisions, call tools, and handle multi-step tasks using Langchain’s ReAct framework and memory management features.

Retrieval-Augmented Generation (RAG)

We implement RAG pipelines that combine LLMs with document stores or databases, enabling dynamic, context-aware answers using your internal knowledge.

Tool Integration with Langchain

We integrate Langchain with APIs, search engines, CRMs, and vector databases, empowering your AI to interact with real-time business tools.

Chatbot and Virtual Assistant Development

Our developers create intelligent, memory-powered chatbots using Langchain for customer support, HR, education, and more—capable of following context and multi-turn conversations.

Knowledge Base Integration

We build systems that connect Langchain with PDFs, Notion, Google Drive, or custom datasets—letting AI reason over business-specific documents securely.

Fine-tuned LLM Deployment

We help you integrate fine-tuned open-source LLMs into your Langchain pipelines for domain-specific use cases like legal, medical, and financial applications.

Langchain + VectorDB Architecture

We create scalable AI pipelines by combining Langchain with vector databases like Pinecone, Qdrant, and FAISS to enable fast, intelligent search and recommendations.

Industries we transform with our custom Langchain Development

Development engagement models offer flexible collaboration approaches, ensuring tailored solutions to meet unique project requirements efficiently.

Technology Stack Utilization by Our Langchain Developers

Our Langchain developers utilize a rich ecosystem of technologies to craft robust, responsive, and intelligent AI systems—from prompt engineering to vector search and cloud deployment.

Language Models

  • OpenAI GPT-4
  • Claude
  • Hugging Face Transformers
  • Cohere
  • Llama2
  • Mistral

Vector Databases

  • Pinecone
  • Weaviate
  • FAISS
  • Qdrant
  • Milvus
  • Chroma

Frontend Interfaces

  • Streamlit
  • Gradio
  • ReactJS
  • Next.js
  • Tailwind CSS

Backend & APIs

  • FastAPI
  • Flask
  • Node.js
  • Express.js
  • Supabase
  • Firebase

Storage & Knowledge Base

  • Notion
  • Google Drive
  • MongoDB
  • PostgreSQL
  • Airtable
  • S3

DevOps & Deployment

  • Docker
  • Vercel
  • AWS Lambda
  • Railway
  • Heroku
  • GitHub Actions

Workflow & Tools

  • LangSmith
  • PromptLayer
  • LangServe
  • Zapier
  • Make.com

Technologies We Use in Combination with Langchain

To build full-featured AI applications, we combine Langchain with a powerful mix of LLMs, storage tools, and backend technologies for real-time execution and scalability.

Langchain + OpenAI GPT

Combine Langchain’s structured pipelines with GPT models to build natural, context-aware conversational applications.

Langchain + Pinecone

Use Pinecone as a high-speed vector database to store and retrieve embeddings used in Langchain-powered RAG systems.

Langchain + Streamlit

Build intuitive frontends for Langchain workflows using Streamlit to rapidly prototype and deploy AI tools.

Langchain + FastAPI

Deploy Langchain applications as scalable APIs using FastAPI, enabling microservice-based AI architecture.

Langchain + Hugging Face Transformers

Leverage open-source models from Hugging Face within Langchain agents for controlled and offline deployments.

Langchain + Supabase

Use Supabase as a PostgreSQL-based backend with real-time sync and auth features for storing AI logs and user sessions.

Our featured success stories in Langchain Development

Development engagement models offer flexible collaboration approaches, ensuring tailored solutions to meet unique project requirements efficiently.

View all case studies

AI-Powered Parking Spot Detection System for Real-Time Parking Management

Developed an AI-driven system for real-time detection and management of parking spots, improving urban parking efficiency and reducing congestion.

  • Real-Time Video Processing
  • Deep Learning Model
  • Web Application Integration
AI-Powered Parking Spot Detection System for Real-Time Parking Management

Hair Disease Classification System Using Deep Learning

Created a deep learning-based web tool to accurately classify various hair and scalp diseases, aiding early diagnosis and medical education.

  • Pretrained InceptionV3 Model
  • Image Classification
  • Interactive Web Interface
Hair Disease Classification System Using Deep Learning

Multi-Format Document Interaction Using AI Chatbot

Developed an AI chatbot enabling seamless interaction with multi-format documents, enhancing information retrieval and user engagement.

  • Multi-Format Document Support
  • AI-Powered Chatbot
  • Natural Language Processing
Multi-Format Document Interaction Using AI Chatbot

Stock Price Prediction Using LSTM Neural Networks

Implemented an LSTM-based deep learning model to predict stock prices, helping users make informed investment decisions through accurate forecasting.

  • Time Series Data Analysis
  • LSTM Neural Network
  • Financial Market Forecasting
Stock Price Prediction Using LSTM Neural Networks

AI-Powered Attendance System with Face Recognition

Developed a face recognition-based automated attendance system to enhance accuracy and efficiency in managing attendance records in real time.

  • Face Recognition Technology
  • Real-Time Attendance Tracking
  • Automated Report Generation
AI-Powered Attendance System with Face Recognition

AI-Based Customer Feedback Analysis Tool for Sentiment & Trend Insights

Implemented an AI-driven tool to analyze customer feedback, providing sentiment analysis and trend detection to help businesses improve customer satisfaction.

  • Natural Language Processing (NLP)
  • Sentiment Analysis
  • Trend Identification
AI-Based Customer Feedback Analysis Tool for Sentiment & Trend Insights

Real-Time License Plate Recognition System

Developed a real-time license plate recognition system to automate vehicle identification, enhancing security and traffic management efficiency.

  • Computer Vision
  • Optical Character Recognition (OCR)
  • Edge Computing Deployment
Real-Time License Plate Recognition System

Personalized Learning Recommendation Engine for EdTech

Created a personalized learning recommendation engine to tailor educational content based on student performance and preferences, boosting engagement and outcomes.

  • Machine Learning Algorithms
  • Data Analytics
  • Adaptive Learning Models
Personalized Learning Recommendation Engine for EdTech

AI Chatbot for Legal Document Summarization

Developed an AI chatbot to automatically summarize complex legal documents, making legal information more accessible and easier to understand for users.

  • Natural Language Processing (NLP)
  • AI Chatbot Integration
  • Document Summarization
AI Chatbot for Legal Document Summarization

Expert insights and trends from our software development team

Explore expert articles on the latest software development trends and best practices to stay ahead in the industry.

Real-World Impact, Powered by AI

Explore how our solutions solve complex challenges across industries—making processes smarter, faster, and more human-centric.

92%

Achieved a remarkable 92% improvement in diagnostic accuracy, ensuring reliable results

85%

Reduced diagnosis time by 85%, enabling faster clinical decisions and patient care

How Deep Learning Transforms Hair Disease Diagnosis

An AI-powered solution that makes scalp condition detection faster, smarter, and more accessible for both patients and professionals.

How AI Makes Attendance Smarter & Faster

A face-recognition system that streamlines attendance tracking while enhancing accuracy and security.

99.5%

Accuracy in facial recognition across diverse conditions

55%

Reduction in attendance processing time

90%

Accuracy in predicting relevant learning content

50%

Reduction in content discovery time

How AI Personalizes Learning in EdTech

An intelligent recommendation engine that tailors content to each learner, improving discovery and engagement.