RAG & LangChain

🧠 From Black Box Chatbots to Intelligent, Context-Aware Systems

Most LLMs are brilliant, but generic. Without access to your internal documents, knowledge base, or real-time data — they hallucinate, make up facts, or miss critical nuance.

That’s where Retrieval-Augmented Generation (RAG) and LangChain come in.

At TAS, we specialize in building AI systems that know your business — by combining the power of large language models with secure, private data retrieval using RAG + LangChain.

Whether you want to build a custom GPT for employees, an AI search assistant for your customers, or a tool that chats with 10,000 PDFs — we make it possible, fast, and production-ready.

🔍 What is RAG (Retrieval-Augmented Generation)?

RAG is a method that enables LLMs like GPT to answer questions based on external knowledge — such as your PDFs, website content, Notion docs, databases, or CRMs.

Instead of relying on what the model was trained on, RAG systems search relevant content from your own data, then feed it into the LLM as context — giving accurate, source-backed answers.

🔗 What is LangChain?

LangChain is the most powerful open-source framework for building LLM-based applications. It helps us:

• Chain together steps (retrieve, rephrase, answer)

• Use tools like Google Search, APIs, databases, CRMs

• Manage conversation memory & context

• Control reasoning logic and fallback handling

• Integrate vector DBs, cloud storage, and custom functions

LangChain is the engine. RAG is the method. Together, they create intelligent, trustworthy AI assistants.

🔧 What We Build with RAG + LangChain

✅ Custom GPTs Trained on Your Data

• Company policy assistants

• Customer service chatbots

• Internal HR or IT helpdesk bots

• Knowledge assistants for products or services

• Legal, finance, and compliance assistants

🔎 Private AI Search Engines

• Semantic, natural language search across large document sets

• Results with citations and summaries

• Indexing PDFs, Word docs, websites, videos, CRM notes, and more

• Support for multiple languages

🧠 Enterprise Knowledge Bots

• Plug into Notion, Confluence, Airtable, Slack

• Staff can ask: “What’s our leave policy?” or “How do I onboard a vendor?”

• RAG finds the answer from internal docs, LangChain formats the result

📊 RAG Dashboards & Analytics Tools

• Chat with data dashboards or Google Sheets

• Ask “What was our revenue last quarter in EU?” and get an answer from your Excel

• Works with LLM + database connector + logic via LangChain

🛠️ Tech Stack We Use

📈 Real-World RAG + LangChain Projects at TAS

🏥 Multilingual Medical Transcription & EHR Automation

Built a multilingual voice-to-text pipeline using Whisper + GPT for clinical documentation. Includes RAG for retrieving medical guidelines and generating structured EHR summaries.

🧠 AI-Based Voice Analysis

Created a voice-driven rural support system using Whisper, GPT, and text-to-speech. The AI listens, understands, and speaks responses in local languages — useful for healthcare and legal FAQs.

📊 Risk Monitoring Dashboard for Credit Card Operations

Integrated AI-driven analytics and anomaly detection for internal financial monitoring — likely paired with LLM-based report generation or alert explanation logic.

🔐 Why TAS for RAG + LangChain Projects?

• ✅ End-to-End Ownership – From chunking and embedding to chatbot UI and production deployment.

• 🧠 RAG Expertise – Optimal chunking, hybrid search, fallback strategies, multi-vector fusion.

• ⚙️ LangChain Certified Engineers – We build custom chains, tools, agents, and toolkits.

• 🔄 Multimodal Ready – Integrate with voice, vision, or structured data.

• 📊 Enterprise-Grade – Secure, compliant, and scalable for internal and customer use.

❓ RAG Systems & LangChain Development – FAQs

Q1. What are RAG systems and LangChain development services?
RAG (Retrieval-Augmented Generation) systems combine Large Language Models (LLMs) like GPT with custom knowledge bases to deliver accurate, context-aware responses. LangChain is a framework that makes it easier to connect LLMs with databases, APIs, and enterprise systems, enabling private GPTs tailored to your business data.

Q2. Why should I choose TAS for RAG & LangChain development?
TAS has deep expertise in AI/ML, LLMs, and enterprise data integration. We specialize in building secure, domain-specific AI assistants, private GPTs, and intelligent search systems that understand your data and drive measurable business value.

Q3. What kind of solutions can you build with RAG and LangChain?
We create:

• Private GPT-powered chatbots for internal knowledge access

• AI-driven document search & summarization systems

• Workflow automation bots using enterprise data

• DeFAI solutions combining AI with blockchain for predictive finance

Q4. How long does it take to build a RAG or LangChain-based solution?
A basic knowledge assistant can be deployed in 3–6 weeks, while enterprise-scale RAG systems with multiple data sources, compliance layers, and integrations may take 3–6 months.

Q5. What technologies and tools do you use?
Our stack includes LangChain, OpenAI GPT, Hugging Face Transformers, Pinecone, Weaviate, FAISS, Milvus, Vector Databases, FastAPI, Node.js, and cloud platforms (AWS, GCP, Azure) for scalable deployments.

Q6. How do you ensure data privacy and security?
We implement on-premise or VPC-based deployments, encryption, access controls, and compliance with GDPR, HIPAA, and SOC 2. Your data never leaves your secure environment, making private GPTs safe for enterprise use.

Q7. How much does a RAG or LangChain solution cost?
Costs vary based on data volume, complexity, and integrations. A basic private GPT assistant starts from a few thousand dollars, while enterprise-grade RAG platforms require higher investment. We offer customized pricing models to suit your needs.

Q8. Do you provide post-deployment support and model optimization?
Yes. We provide continuous monitoring, data pipeline updates, retraining, and feature enhancements so your RAG or LangChain-powered AI stays accurate and future-ready.

📞 Build AI That Understands Your Business

Want an assistant that reads your data and responds like an expert?
Let TAS help you launch a private GPT or AI search engine with RAG + LangChain.

👉 [Book a Free Strategy Session]