> ## Documentation Index
> Fetch the complete documentation index at: https://context-window.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Use Cases

> Real-world applications and scenarios for context-window

## Overview

context-window is perfect for any application that needs to answer questions from your documents. The strict RAG approach ensures accurate, verifiable answers without hallucinations.

## Document Q\&A Systems

Build chatbots and assistants that answer questions from your documentation.

### Knowledge Base Bot

```typescript theme={null}
import { createCtxWindow, getCtxWindow } from "context-window";

const kb = await createCtxWindow({
  namespace: "knowledge-base",
  data: ["./docs/kb"],
  ai: { provider: "openai", model: "gpt-4o-mini" },
  vectorStore: { provider: "pinecone" }
});

// User asks a question
const result = await kb.ask("How do I reset my password?");
console.log(result.text);
console.log(`Sources: ${result.sources.join(", ")}`);
```

<Check>
  **Perfect for**: Customer support, internal documentation, help centers
</Check>

### Product Documentation Assistant

```typescript theme={null}
import { createCtxWindow, getCtxWindow } from "context-window";

// Initialize documentation
await createCtxWindow({
  namespace: "product-docs",
  data: [
    "./docs/installation",
    "./docs/configuration",
    "./docs/api",
    "./docs/troubleshooting"
  ],
  chunk: { size: 1200, overlap: 180 },
  ai: { provider: "openai" },
  vectorStore: { provider: "pinecone" }
});

// Use in your application
async function getHelp(userQuestion: string) {
  const docs = getCtxWindow("product-docs");
  return await docs.ask(userQuestion);
}
```

**Benefits**:

* 24/7 availability
* Instant answers
* Always up-to-date with your docs
* Reduces support ticket volume

***

## Research Assistant

Query across multiple research papers, articles, or books.

### Academic Research

```typescript theme={null}
const research = await createCtxWindow({
  namespace: "research-papers",
  data: [
    "./papers/machine-learning",
    "./papers/nlp",
    "./papers/computer-vision"
  ],
  chunk: {
    size: 1500,    // Larger chunks for academic content
    overlap: 250
  },
  limits: {
    topK: 10,      // Retrieve more context
    maxContextChars: 12000
  },
  ai: { provider: "openai", model: "gpt-4o" },
  vectorStore: { provider: "pinecone" }
});

// Research queries
const result1 = await research.ask(
  "What are the main approaches to attention mechanisms in transformers?"
);

const result2 = await research.ask(
  "Compare ResNet and EfficientNet architectures"
);
```

<Check>
  **Perfect for**: Literature reviews, research synthesis, academic writing
</Check>

### Market Research Analysis

```typescript theme={null}
const market = await createCtxWindow({
  namespace: "market-research",
  data: [
    "./reports/2023",
    "./reports/2024",
    "./competitor-analysis",
    "./industry-trends"
  ],
  ai: { provider: "openai", model: "gpt-4o" },
  vectorStore: { provider: "pinecone" }
});

// Business intelligence queries
const competitor = await market.ask(
  "What are the main competitive advantages of Company X?"
);

const trends = await market.ask(
  "What emerging trends are mentioned in the 2024 reports?"
);
```

***

## Business Intelligence

Answer questions from reports, presentations, and internal documents.

### Executive Dashboard Bot

```typescript theme={null}
import express from "express";
import { createCtxWindow, getCtxWindow } from "context-window";

const app = express();
app.use(express.json());

// Initialize business intelligence sources
await createCtxWindow({
  namespace: "quarterly-reports",
  data: ["./reports/quarterly"],
  ai: { provider: "openai", model: "gpt-4o" },
  vectorStore: { provider: "pinecone" }
});

await createCtxWindow({
  namespace: "sales-data",
  data: ["./reports/sales"],
  ai: { provider: "openai" },
  vectorStore: { provider: "pinecone" }
});

// API endpoint for executives
app.post("/api/business-intelligence", async (req, res) => {
  const { question, source } = req.body;

  const cw = getCtxWindow(
    source === "sales" ? "sales-data" : "quarterly-reports"
  );

  const result = await cw.ask(question);

  res.json({
    answer: result.text,
    sources: result.sources,
    timestamp: new Date().toISOString()
  });
});

app.listen(3000);
```

<Check>
  **Perfect for**: Executive summaries, data analysis, business reporting
</Check>

***

## Study Tool & Education

Create AI tutors that answer questions from textbooks and lecture notes.

### Study Assistant

```typescript theme={null}
const studyAssistant = await createCtxWindow({
  namespace: "biology-101",
  data: [
    "./textbooks/biology",
    "./lecture-notes",
    "./study-guides"
  ],
  chunk: { size: 1000, overlap: 150 },
  ai: { provider: "openai", model: "gpt-4o-mini" },
  vectorStore: { provider: "pinecone" }
});

// Student questions
const q1 = await studyAssistant.ask(
  "Explain the process of photosynthesis"
);

const q2 = await studyAssistant.ask(
  "What is the difference between mitosis and meiosis?"
);

const q3 = await studyAssistant.ask(
  "What are the main parts of a cell?"
);
```

### Interactive Learning Platform

```typescript theme={null}
class CourseAssistant {
  private courses = new Map<string, string>();

  async createCourse(courseId: string, materials: string[]) {
    await createCtxWindow({
      namespace: `course-${courseId}`,
      data: materials,
      ai: { provider: "openai" },
      vectorStore: { provider: "pinecone" }
    });
    this.courses.set(courseId, `course-${courseId}`);
  }

  async askQuestion(courseId: string, question: string) {
    const namespace = this.courses.get(courseId);
    if (!namespace) {
      throw new Error("Course not found");
    }

    const cw = getCtxWindow(namespace);
    return await cw.ask(question);
  }

  async getQuizQuestions(courseId: string, topic: string) {
    const result = await this.askQuestion(
      courseId,
      `Generate 5 quiz questions about ${topic}`
    );
    return result;
  }
}
```

<Check>
  **Perfect for**: E-learning platforms, homework help, exam preparation
</Check>

***

## Customer Support

Build support bots that answer from product documentation and FAQs.

### Support Ticket Automation

```typescript theme={null}
import { createCtxWindow, getCtxWindow } from "context-window";

// Initialize support knowledge base
await createCtxWindow({
  namespace: "support-kb",
  data: [
    "./support/faq",
    "./support/troubleshooting",
    "./support/how-to-guides"
  ],
  limits: {
    topK: 8,
    scoreThreshold: 0.7  // High confidence answers only
  },
  ai: { provider: "openai", model: "gpt-4o-mini" },
  vectorStore: { provider: "pinecone" }
});

async function handleSupportTicket(ticketContent: string) {
  const support = getCtxWindow("support-kb");
  const result = await support.ask(ticketContent);

  // Check if we found a good answer
  if (result.sources.length > 0 &&
      !result.text.includes("I don't know")) {
    return {
      status: "auto-resolved",
      answer: result.text,
      sources: result.sources
    };
  } else {
    return {
      status: "needs-human",
      message: "Escalating to support agent"
    };
  }
}
```

### Multi-Channel Support

```typescript theme={null}
class SupportBot {
  private kb: ContextWindow;

  async initialize() {
    await createCtxWindow({
      namespace: "support",
      data: ["./support-docs"],
      ai: { provider: "openai" },
      vectorStore: { provider: "pinecone" }
    });
    this.kb = getCtxWindow("support");
  }

  async handleEmailSupport(email: string) {
    const result = await this.kb.ask(email);
    return this.formatEmailResponse(result);
  }

  async handleChatSupport(message: string) {
    const result = await this.kb.ask(message);
    return this.formatChatResponse(result);
  }

  async handlePhoneScript(query: string) {
    const result = await this.kb.ask(query);
    return this.formatPhoneScript(result);
  }

  private formatEmailResponse(result: AskResult) {
    return {
      body: result.text,
      footer: `Sources: ${result.sources.join(", ")}`
    };
  }

  private formatChatResponse(result: AskResult) {
    return {
      message: result.text,
      quickReplies: ["Was this helpful?", "Talk to agent"]
    };
  }

  private formatPhoneScript(result: AskResult) {
    return {
      script: result.text,
      followUp: "Would you like me to email you this information?"
    };
  }
}
```

<Check>
  **Perfect for**: Help desks, chatbots, automated support systems
</Check>

***

## Legal & Compliance

Search and query through contracts, policies, and legal documents.

### Contract Analysis

```typescript theme={null}
const legal = await createCtxWindow({
  namespace: "contracts",
  data: ["./contracts", "./agreements"],
  chunk: {
    size: 1500,    // Large chunks for legal context
    overlap: 300   // High overlap for continuity
  },
  limits: {
    topK: 5,               // Fewer, more relevant results
    scoreThreshold: 0.75,  // High confidence only
    maxContextChars: 8000
  },
  ai: { provider: "openai", model: "gpt-4o" },  // Best model
  vectorStore: { provider: "pinecone" }
});

// Legal queries
const liability = await legal.ask(
  "What are the liability clauses in the vendor contracts?"
);

const termination = await legal.ask(
  "What are the termination conditions?"
);

const pricing = await legal.ask(
  "What are the payment terms and pricing structures?"
);
```

### Policy Compliance Checker

```typescript theme={null}
const policies = await createCtxWindow({
  namespace: "company-policies",
  data: [
    "./policies/hr",
    "./policies/security",
    "./policies/data-privacy"
  ],
  ai: { provider: "openai", model: "gpt-4o" },
  vectorStore: { provider: "pinecone" }
});

async function checkCompliance(action: string) {
  const result = await policies.ask(
    `Is this action compliant with company policy: ${action}`
  );

  return {
    compliant: !result.text.includes("not compliant"),
    explanation: result.text,
    relevantPolicies: result.sources
  };
}
```

<Check>
  **Perfect for**: Due diligence, compliance checks, contract review
</Check>

***

## Content Discovery

Find relevant information across large document collections.

### Document Search Engine

```typescript theme={null}
const archive = await createCtxWindow({
  namespace: "company-archive",
  data: [
    "./archive/2020",
    "./archive/2021",
    "./archive/2022",
    "./archive/2023",
    "./archive/2024"
  ],
  limits: {
    topK: 12,              // Broad search
    maxContextChars: 12000
  },
  ai: { provider: "openai" },
  vectorStore: { provider: "pinecone" }
});

// Semantic search across years
const projectInfo = await archive.ask(
  "Find information about Project Phoenix from 2022"
);

const budgetInfo = await archive.ask(
  "What were the budget allocations for marketing?"
);
```

### Internal Wiki Search

```typescript theme={null}
class WikiSearch {
  private wiki: ContextWindow;

  async initialize() {
    await createCtxWindow({
      namespace: "company-wiki",
      data: ["./wiki"],
      chunk: { size: 1200, overlap: 180 },
      ai: { provider: "openai" },
      vectorStore: { provider: "pinecone" }
    });
    this.wiki = getCtxWindow("company-wiki");
  }

  async search(query: string) {
    const result = await this.wiki.ask(query);
    return {
      summary: result.text,
      relatedPages: result.sources,
      confidence: result.sources.length > 0 ? "high" : "low"
    };
  }

  async findRelated(topic: string) {
    return await this.search(`Find all information related to ${topic}`);
  }
}
```

<Check>
  **Perfect for**: Enterprise search, knowledge management, archive exploration
</Check>

***

## Specialized Applications

### Medical Information Assistant

```typescript theme={null}
const medical = await createCtxWindow({
  namespace: "medical-literature",
  data: ["./medical-papers", "./clinical-guidelines"],
  chunk: { size: 1500, overlap: 250 },
  limits: {
    topK: 10,
    scoreThreshold: 0.8  // Very high confidence for medical info
  },
  ai: { provider: "openai", model: "gpt-4o" },
  vectorStore: { provider: "pinecone" }
});

// Medical queries (for informational purposes only)
const treatment = await medical.ask(
  "What are the standard treatment protocols for condition X?"
);
```

<Warning>
  Medical applications require professional oversight. Always include disclaimers and consult healthcare professionals.
</Warning>

### Real Estate Property Search

```typescript theme={null}
const properties = await createCtxWindow({
  namespace: "property-listings",
  data: ["./listings", "./property-details"],
  ai: { provider: "openai" },
  vectorStore: { provider: "pinecone" }
});

// Natural language property search
const familyHome = await properties.ask(
  "Find 3-bedroom houses near good schools under $500k"
);

const investment = await properties.ask(
  "Show properties with high rental yield potential"
);
```

### Recipe & Cooking Assistant

```typescript theme={null}
const recipes = await createCtxWindow({
  namespace: "recipe-collection",
  data: ["./recipes", "./cookbooks"],
  ai: { provider: "openai" },
  vectorStore: { provider: "pinecone" }
});

// Cooking queries
const dinner = await recipes.ask(
  "Suggest a vegetarian dinner recipe with ingredients I have: tomatoes, pasta, cheese"
);

const dessert = await recipes.ask(
  "Find a chocolate dessert recipe that takes less than 30 minutes"
);
```

## Choosing the Right Configuration

Different use cases need different settings:

<CardGroup cols={2}>
  <Card title="High Accuracy" icon="bullseye">
    Legal, medical, compliance

    * Model: `gpt-4o`
    * Chunk size: 1500
    * topK: 5-10
    * scoreThreshold: 0.75-0.85
  </Card>

  <Card title="Fast Response" icon="bolt">
    Customer support, chatbots

    * Model: `gpt-4o-mini`
    * Chunk size: 1000
    * topK: 5
    * scoreThreshold: 0.7
  </Card>

  <Card title="Comprehensive" icon="book">
    Research, analysis

    * Model: `gpt-4o`
    * Chunk size: 1500
    * topK: 10-15
    * scoreThreshold: 0
  </Card>

  <Card title="Cost-Effective" icon="dollar-sign">
    FAQ, simple queries

    * Model: `gpt-4o-mini`
    * Chunk size: 2000
    * topK: 5
    * scoreThreshold: 0.6
  </Card>
</CardGroup>

## Next Steps

<CardGroup cols={2}>
  <Card title="Examples" icon="code" href="/examples">
    See complete code examples
  </Card>

  <Card title="Best Practices" icon="star" href="/best-practices">
    Optimize for your use case
  </Card>

  <Card title="API Reference" icon="book" href="/api-reference/introduction">
    Explore all configuration options
  </Card>

  <Card title="Getting Started" icon="rocket" href="/">
    Build your first application
  </Card>
</CardGroup>