> ## Documentation Index > Fetch the complete documentation index at: https://docs.case.dev/llms.txt > Use this file to discover all available pages before exploring further. # Discovery Search > Search thousands of documents in seconds **The problem:** You have 5,000 documents from discovery. Finding the relevant ones takes weeks of manual review. **The solution:** Upload to a Vault. We OCR, chunk, and index everything. Search by meaning in seconds. ## 1. Create a vault Vaults are secure containers for your users' documents. Each vault gets automatic OCR, chunking, and vector indexing. ```bash title="cURL" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} curl -X POST https://api.case.dev/vault \ -H "Authorization: Bearer $CASEDEV_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "name": "Case Documents - User 12345", "description": "Discovery documents for case review" }' ``` ```bash title="CLI" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} casedev vault create --name "Case Documents - User 12345" ``` ```typescript title="Typescript" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} import Casedev from 'casedev'; const client = new Casedev({ apiKey: process.env.CASEDEV_API_KEY }); // Create a vault for your user's documents const vault = await client.vault.create({ name: 'Case Documents - User 12345', description: 'Discovery documents for case review' }); console.log(`Vault created: ${vault.id}`); ``` ```python title="Python" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} import casedev import os client = casedev.Casedev(api_key=os.environ['CASEDEV_API_KEY']) # Create a vault for your user's documents vault = client.vault.create( name='Case Documents - User 12345', description='Discovery documents for case review' ) print(f'Vault created: {vault.id}') ``` ```go title="Go" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} vault, _ := client.Vault.New(ctx, casedev.VaultNewParams{ Name: casedev.F("Case Documents - User 12345"), Description: casedev.F("Discovery documents for case review"), }) fmt.Println(vault.ID) ``` ## 2. Upload documents Handle file uploads from your users and trigger automatic processing: ```bash title="cURL" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} # 1. Get upload URL UPLOAD=$(curl -s -X POST "https://api.case.dev/vault/$VAULT_ID/upload" \ -H "Authorization: Bearer $CASEDEV_API_KEY" \ -H "Content-Type: application/json" \ -d '{"filename": "document.pdf", "contentType": "application/pdf"}') UPLOAD_URL=$(echo $UPLOAD | jq -r '.uploadUrl') OBJECT_ID=$(echo $UPLOAD | jq -r '.objectId') # 2. Upload file curl -X PUT "$UPLOAD_URL" \ -H "Content-Type: application/pdf" \ --data-binary "@document.pdf" # 3. Trigger ingestion curl -X POST "https://api.case.dev/vault/$VAULT_ID/ingest/$OBJECT_ID" \ -H "Authorization: Bearer $CASEDEV_API_KEY" ``` ```bash title="CLI" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} casedev vault upload \ --id $VAULT_ID \ --filename "document.pdf" \ --content-type "application/pdf" ``` ```typescript title="Typescript" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} import fs from 'fs'; async function uploadDocument(vaultId: string, filePath: string) { // Get presigned upload URL const upload = await client.vault.upload(vaultId, { filename: filePath.split('/').pop()!, contentType: 'application/pdf' }); // Upload file to S3 const file = fs.readFileSync(filePath); await fetch(upload.uploadUrl, { method: 'PUT', headers: { 'Content-Type': 'application/pdf' }, body: file }); // Trigger OCR + embedding pipeline await client.vault.ingest(vaultId, upload.objectId); return upload.objectId; } // Process uploads from your user const files = fs.readdirSync('./uploads'); for (const file of files) { await uploadDocument(vault.id, `./uploads/${file}`); console.log(`Processed: ${file}`); } ``` ```python title="Python" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} import os import requests def upload_document(vault_id: str, file_path: str) -> str: # Get presigned upload URL upload = client.vault.upload(vault_id, filename=os.path.basename(file_path), content_type='application/pdf' ) # Upload file to S3 with open(file_path, 'rb') as f: requests.put(upload.upload_url, data=f, headers={'Content-Type': 'application/pdf'}) # Trigger OCR + embedding pipeline client.vault.ingest(upload.object_id, id=vault_id) return upload.object_id # Process uploads from your user for file in os.listdir('./uploads'): upload_document(vault.id, f'./uploads/{file}') print(f'Processed: {file}') ``` ```go title="Go" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} upload, _ := client.Vault.Upload(ctx, vaultID, casedev.VaultUploadParams{ Filename: casedev.F("document.pdf"), ContentType: casedev.F("application/pdf"), }) // PUT file to upload.UploadURL via net/http fmt.Println(upload.ObjectID) ``` ## 3. Search by meaning Enable your users to search by meaning, not just keywords: ```bash title="cURL" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} curl -X POST "https://api.case.dev/vault/$VAULT_ID/search" \ -H "Authorization: Bearer $CASEDEV_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "query": "communications about equipment failure", "method": "hybrid", "topK": 10 }' ``` ```bash title="CLI" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} casedev vault search \ --id $VAULT_ID \ --query "search query" ``` ```typescript title="Typescript" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} // In your search endpoint or UI handler const results = await client.vault.search(vault.id, { query: userQuery, // e.g., "communications about equipment failure" method: 'hybrid', topK: 10 }); // Return results to your user for (const chunk of results.chunks) { console.log(`📄 ${chunk.filename} (score: ${chunk.hybridScore.toFixed(2)})`); console.log(`"${chunk.text.substring(0, 200)}..."`); } ``` ```python title="Python" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} # In your search endpoint or UI handler results = client.vault.search(vault.id, query=user_query, # e.g., "communications about equipment failure" method='hybrid', top_k=10 ) # Return results to your user for chunk in results.chunks: print(f'📄 {chunk.filename} (score: {chunk.hybrid_score:.2f})') print(f'"{chunk.text[:200]}..."') ``` ```go title="Go" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} results, _ := client.Vault.Search(ctx, vaultID, casedev.VaultSearchParams{ Query: casedev.F("search query"), Method: casedev.F(casedev.VaultSearchParamsMethodHybrid), }) for _, chunk := range results.Chunks { fmt.Println(chunk.Text) } ``` ## 4. Summarize findings Enhance results with AI-generated summaries for your users: ```bash title="cURL" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} curl -X POST https://api.case.dev/llm/v1/chat/completions \ -H "Authorization: Bearer $CASEDEV_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "anthropic/claude-sonnet-4.5", "messages": [ {"role": "system", "content": "Summarize these search results concisely."}, {"role": "user", "content": "User searched for: [QUERY]\n\nResults:\n\n[SEARCH RESULTS]"} ], "max_tokens": 500 }' ``` ```bash title="CLI" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} casedev llm:v1:chat create-completion \ --model anthropic/claude-sonnet-4.5 \ --message '{role: system, content: "Summarize these search results concisely. Highlight the most relevant findings."}' \ --message '{role: user, content: "User searched for: \n\nResults:\n\n"}' \ --max-tokens 500 ``` ```typescript title="Typescript" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} const context = results.chunks.map(c => c.text).join('\n\n---\n\n'); const summary = await client.llm.v1.chat.createCompletion({ model: 'anthropic/claude-sonnet-4.5', messages: [ { role: 'system', content: 'Summarize these search results concisely. Highlight the most relevant findings.' }, { role: 'user', content: `User searched for: "${userQuery}"\n\nResults:\n\n${context}` } ], max_tokens: 500 }); // Return summary along with search results console.log(summary.choices[0].message.content); ``` ```python title="Python" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} context = '\n\n---\n\n'.join([c.text for c in results.chunks]) summary = client.llm.v1.chat.create_completion( model='anthropic/claude-sonnet-4.5', messages=[ { 'role': 'system', 'content': 'Summarize these search results concisely. Highlight the most relevant findings.' }, { 'role': 'user', 'content': f'User searched for: "{user_query}"\n\nResults:\n\n{context}' } ], max_tokens=500 ) # Return summary along with search results print(summary.choices[0].message.content) ``` ```go title="Go" theme={"theme":{"light":"github-light","dark":"one-dark-pro"}} // Summarize search results for your user resp, _ := client.Llm.V1.Chat.NewCompletion(ctx, casedev.LlmV1ChatNewCompletionParams{ Model: casedev.F("anthropic/claude-sonnet-4.5"), Messages: casedev.F([]casedev.LlmV1ChatNewCompletionParamsMessage{ { Role: casedev.F(casedev.LlmV1ChatNewCompletionParamsMessagesRoleSystem), Content: casedev.F("Summarize these search results concisely. Highlight the most relevant findings."), }, { Role: casedev.F(casedev.LlmV1ChatNewCompletionParamsMessagesRoleUser), Content: casedev.F("User searched for: " + query + "\n\nResults:\n\n" + searchResultsText), }, }), MaxTokens: casedev.F(int64(500)), }) fmt.Println(resp.Choices[0].Message.Content) ``` **Time saved:** What used to take weeks of manual review now takes minutes. The AI finds relevant passages even when documents use different terminology.