Freelancers using LangChain in India
Freelancers using LangChain in India
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Prashant from Zeroic
pro
Bengaluru, India
Zeroic - India's Top Product Studio
$50k+
Earned
11x
Hired
5.0
Rating
38
Followers
expert
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Zeroic - India's Top Product Studio
0
FormulaBot - AI powered SaaS - Web application on Bubble
0
13
0
Aalibo - Enterprise B2B Marketplace by Zee TV
0
69
0
Archiflo - Project management for Architects
0
50
0
FormulaBot - AI powered SaaS - Web application on Bubble
0
156
LangChain
(1)
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Anmol Baranwal
pro
India
Technical Writer (1.5M+ reads) & Open Source Developer
$10k+
Earned
23x
Hired
53
Followers
expert
Hired
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Technical Writer (1.5M+ reads) & Open Source Developer
1
Technical Writing for Copilotkit | 40k+ views
1
68
1
Technical Writing for Encore | 30k+ views
1
13
0
Technical Writing for Encore | 30k+ views
0
5
0
Technical Writing for Opire | 60k+ Views
0
19
LangChain
(1)
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Shreyansh Kumar
India
Software Developer
$1k+
Earned
1x
Hired
4.2
Rating
3
Followers
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Software Developer
0
Loov – Your AI Companion, Your Story
0
14
0
Grabizzi(Web) – a sustainable food giveaway platform
0
3
0
Grabizzi(App) – a sustainable food giveaway platform
0
9
0
Tellcrow - Marketing Agency Platform
0
6
LangChain
(1)
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Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
10
Followers
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Building Production-Grade AI Agents & RAG Systems
1
Developed a production-grade Retrieval-Augmented Generation (RAG) system specifically designed to automate the analysis of complex Environmental, Social, and Governance (ESG) reports. This tool bridges the gap between static LLMs and the dynamic, data-heavy requirements of legal and sustainability compliance. [1 (https://www.youtube.com/watch?v=wkYPcMtwlN8)] Key Features & Capabilities Intelligent Document Processing: Automatically handles large, unstructured PDF/Word ESG reports, extracting critical clauses and metrics in seconds. Fact-Grounded Q&A: Uses a RAG architecture to ensure all answers are strictly based on the uploaded documents, virtually eliminating AI hallucinations. Compliance Mapping: Cross-references internal company data with global frameworks like CSRD, GRI, and TCFD to identify gaps or inconsistencies. Audit-Ready Traceability: Every insight generated includes direct citations and excerpts from the source files, providing a clear "paper trail" for legal teams. Automated Drafting: Capability to draft legal summaries, notices, or internal policy updates based on analyzed ESG risks Note: The 'Slaughter and May' branding in the sidebar is for UI/UX demonstration purposes only, showcasing how the tool integrates into a top-tier law firm's environment. #AI #RAG #LegalTech #ESG #Python #LangChain
1
64
1
Developed a full-stack RAG-based E- Commerce AI chatbot using React.js and Tailwind CSS that suggests the perfect laptop from a live catalog. Integrated ChromaDB with BGE Embedding models to provide highly accurate, context-aware product recommendations and instant technical support." Key Highlights: Smart Laptop Recommendations: Uses Semantic Search to match user needs (gaming, coding, etc.) with real-time specs. Advanced Tech Stack: Powered by LangChain for orchestration and BGE models for superior data retrieval. Modern UI/UX: Built a responsive, clean interface using React.js and Tailwind CSS. Zero Hallucination: Ensures all suggestions are strictly grounded in the available product inventory.
2
1
158
4
Built a highly scalable Retrieval-Augmented Generation (RAG) chatbot designed to interact with private datasets/PDFs. Unlike standard LLMs, this system minimizes hallucinations by retrieving real-time context from a local knowledge base before generating responses. Key Features: Semantic Search: Implemented Vector Embeddings to perform high-speed similarity searches across thousands of document chunks. Smart Retrieval: Integrated a retrieval pipeline using LangChain to fetch the most relevant context for user queries. Source Citation: Configured the bot to provide source references from documents, ensuring data transparency and accuracy. Optimized Performance: Used FAISS/Chromadb for efficient vector storage and retrieval.
4
229
3
Built an intelligent RAG-based chatbot designed to simplify complex financial analysis. In the project demo, the AI deep-dives into Apple’s annual reports, extracting key fiscal metrics and providing real-time insights through natural language queries. It transforms dense financial filings into actionable data using advanced document retrieval
2
3
262
LangChain
(4)
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Mehul Sethia | Senseibles
pro
India
Design, Build, AI, Automation
$50k+
Earned
17x
Hired
5.0
Rating
53
Followers
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Message
Design, Build, AI, Automation
2
DepX: AI-Powered DevOps Copilot
2
77
0
eSIM Platform Development for Alosim
0
6
0
Root & Roar: Kajabi Funnel & Course Build
0
10
0
Sober Society Kajabi Membership Website
0
6
LangChain
(1)
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Wahid Ali
pro
Ghaziabad, India
Full Stack Developer | AI Tool, Web App, MVP & SaaS Products
$10k+
Earned
4x
Hired
4.9
Rating
20
Followers
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Message
Full Stack Developer | AI Tool, Web App, MVP & SaaS Products
1
AI Search Optimization Platform
1
12
1
Flight Booking Platform
1
6
1
Innovation Intelligence Platform
1
8
1
Digital Business Card Platform
1
5
LangChain
(1)
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Siddharth chopda
Bengaluru, India
Your go-to web developer for all AI, full-stack projects.
$1k+
Earned
4x
Hired
5.0
Rating
4
Followers
Expert
Follow
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Your go-to web developer for all AI, full-stack projects.
0
Full-Stack AI Engineering and Team Leadership
0
5
0
Siddharth Chopda
0
9
0
Portfolio
0
1
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LangChain
(1)
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Bulbul gupta
Indore, India
AI Developer | Chatbots, RAG & Sentiment | AI Video
30
Followers
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AI Developer | Chatbots, RAG & Sentiment | AI Video
4
Built an AI-powered customer support chatbot that can handle user queries instantly and automate business communication. The chatbot understands user intent and provides accurate, context-aware responses using advanced AI models. It is designed to reduce manual effort, improve response time, and enhance customer experience. This solution can be integrated into websites or apps to provide 24/7 automated support, helping businesses save time and increase efficiency. "Open to building custom AI solutions for businesses"🚀 .
1
4
183
0
Built an AI-powered chatbot that enables businesses to search and retrieve information from documents instantly using Retrieval-Augmented Generation (RAG). The system processes uploaded documents, converts them into embeddings, and stores them in a vector database for fast and accurate retrieval. When a user asks a question, the chatbot fetches relevant context and generates intelligent, human-like responses. 💡 This solution helps businesses automate document search, reduce manual effort, and improve productivity. 🔥 Key Highlights: • Real-time document querying • Context-aware AI responses • Fast and scalable architecture ⚙️ Built using Python, FastAPI, OpenAI, LangChain, and FAISS.
0
68
2
This type of system can help teams search internal documents much faster. Currently experimenting with different approaches to improve answer accuracy. Curious to hear how others are building similar systems.
1
2
106
1
This AI video demonstrates how businesses can automate customer support using AI chatbots. It highlights the problem of slow responses and shows how AI can handle queries instantly, improving efficiency and customer experience. Ideal for businesses looking to scale support operations.
1
32
LangChain
(3)
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