Search and Retrieval

AINexLayer's search and retrieval system enables powerful semantic search across your document collections, finding relevant information quickly and accurately.

Overview

The search and retrieval system combines traditional keyword search with advanced semantic search capabilities, allowing you to find information based on meaning and context, not just exact text matches.

Search Types

1. Semantic Search

• Meaning-Based: Finds content based on meaning and context

• Vector Similarity: Uses embedding vectors for similarity matching

• Context Awareness: Understands document context and relationships

• Cross-Language: Works across different languages

2. Keyword Search

• Exact Matching: Finds specific words and phrases

• Fuzzy Matching: Handles typos and variations

• Boolean Logic: AND, OR, NOT operations

• Wildcard Support: Pattern matching with wildcards

3. Hybrid Search

• Combined Approach: Merges semantic and keyword search

• Weighted Results: Balances different search types

• Relevance Scoring: Ranks results by relevance

• Context Integration: Combines multiple search signals

Search Interface

Search Bar

• Global Search: Search across all workspaces

• Workspace Search: Search within specific workspace

• Document Search: Search within specific documents

• Advanced Search: Access advanced search options

Search Filters

• Document Type: Filter by file format

• Date Range: Filter by creation or modification date

• Author: Filter by document author

• Tags: Filter by document tags

• Workspace: Filter by workspace

Search Results

• Relevance Ranking: Results ranked by relevance

• Snippet Preview: Preview of matching content

• Source Attribution: Shows which document contains the match

• Highlighted Terms: Highlights matching terms

• Context Display: Shows surrounding context

Advanced Search Features

Query Types

{
  "semantic": "Find information about user authentication",
  "keyword": "authentication AND security",
  "boolean": "(user OR customer) AND (login OR access)",
  "fuzzy": "authenticaton~",
  "wildcard": "auth*",
  "phrase": "\"user authentication system\""
}

Search Operators

• AND: Both terms must be present

• OR: Either term can be present

• NOT: Exclude terms

• Quotes: Exact phrase matching

• Parentheses: Group operations

• Wildcards: Pattern matching

Proximity Search

• Word Distance: Find terms within specified distance

• Sentence Proximity: Terms within same sentence

• Paragraph Proximity: Terms within same paragraph

• Document Proximity: Terms within same document

Search Configuration

Search Settings

{
  "searchType": "hybrid",
  "semanticWeight": 0.7,
  "keywordWeight": 0.3,
  "maxResults": 50,
  "snippetLength": 200,
  "highlightTerms": true,
  "includeMetadata": true
}

Indexing Options

• Full-Text Index: Complete document text

• Metadata Index: Document properties and tags

• Vector Index: Semantic embeddings

• Custom Fields: User-defined searchable fields

Performance Tuning

• Index Optimization: Optimize search indexes

• Cache Settings: Configure search result caching

• Query Optimization: Optimize search queries

• Resource Limits: Set search resource limits

Search Algorithms

Vector Search

• Embedding Models: Use various embedding models

• Similarity Metrics: Cosine, Euclidean, dot product

• Dimensionality: Optimize vector dimensions

• Indexing: Efficient vector indexing

Keyword Search

• Inverted Index: Traditional keyword indexing

• Tokenization: Text tokenization strategies

• Stemming: Word root extraction

• Stop Words: Common word filtering

Hybrid Ranking

• Score Fusion: Combine different search scores

• Weighted Combination: Weight different search types

• Learning to Rank: Machine learning-based ranking

• User Feedback: Incorporate user feedback

Search Performance

Optimization Strategies

• Index Optimization: Optimize search indexes

• Query Caching: Cache frequent queries

• Result Caching: Cache search results

• Parallel Processing: Parallel search execution

Performance Metrics

• Query Latency: Search response time

• Throughput: Queries per second

• Accuracy: Search result relevance

• Recall: Percentage of relevant results found

Scaling Considerations

• Horizontal Scaling: Scale across multiple servers

• Index Sharding: Distribute indexes across servers

• Load Balancing: Distribute search load

• Resource Management: Manage search resources

Search Analytics

Usage Analytics

• Query Patterns: Analyze common search queries

• Result Clicks: Track which results users click

• Search Success: Measure search success rates

• User Behavior: Understand user search behavior

Performance Analytics

• Query Performance: Monitor search performance

• Index Health: Monitor index status

• Resource Usage: Track resource consumption

• Error Rates: Monitor search errors

Content Analytics

• Content Coverage: Analyze searchable content

• Gap Analysis: Identify content gaps

• Quality Metrics: Measure content quality

• Update Frequency: Track content updates

Search API

Search Endpoints

# Basic search
GET /api/v1/search?q=authentication&workspace=workspace-123

# Advanced search
POST /api/v1/search/advanced
Content-Type: application/json

{
  "query": "user authentication",
  "workspaceId": "workspace-123",
  "filters": {
    "documentType": "pdf",
    "dateRange": {
      "start": "2024-01-01",
      "end": "2024-12-31"
    }
  },
  "options": {
    "maxResults": 20,
    "includeSnippets": true,
    "highlightTerms": true
  }
}

# Get search suggestions
GET /api/v1/search/suggestions?q=auth

# Get search analytics
GET /api/v1/search/analytics?workspace=workspace-123

Search Response Format

{
  "query": "user authentication",
  "totalResults": 25,
  "results": [
    {
      "documentId": "doc-123",
      "documentName": "Security Guide.pdf",
      "workspaceId": "workspace-123",
      "score": 0.95,
      "snippet": "User authentication is the process of verifying...",
      "highlightedTerms": ["user", "authentication"],
      "metadata": {
        "author": "John Doe",
        "createdDate": "2024-01-15",
        "tags": ["security", "authentication"]
      }
    }
  ],
  "facets": {
    "documentType": {
      "pdf": 15,
      "docx": 10
    },
    "tags": {
      "security": 20,
      "authentication": 18
    }
  }
}

Search Customization

Custom Search Fields

• Metadata Fields: Search document metadata

• Custom Properties: User-defined searchable fields

• Tag Search: Search by document tags

• Author Search: Search by document author

Search Templates

• Saved Searches: Save frequently used searches

• Search Alerts: Get notified of new matching content

• Search Shortcuts: Quick access to common searches

• Search History: Track search history

Search UI Customization

• Result Layout: Customize result display

• Filter Options: Configure available filters

• Sort Options: Set sorting preferences

• Export Options: Configure result export

Integration Features

External Search

• API Integration: Integrate with external search services

• Federated Search: Search across multiple systems

• Search Aggregation: Combine results from multiple sources

• Result Merging: Merge and rank results

Search Plugins

• Custom Algorithms: Add custom search algorithms

• Language Support: Add support for new languages

• Format Support: Add support for new file formats

• Integration Hooks: Custom integration points

Troubleshooting

Common Issues

Slow Search Performance

• Check index optimization

• Monitor system resources

• Optimize search queries

• Consider hardware upgrades

Poor Search Results

• Improve document quality

• Optimize indexing settings

• Adjust search weights

• Review search algorithms

Missing Results

• Check index completeness

• Verify document processing

• Review search filters

• Test with different queries

Index Issues

• Rebuild search indexes

• Check index health

• Monitor index size

• Optimize index settings

Performance Optimization

Query Optimization

• Use specific search terms

• Apply appropriate filters

• Limit result count

• Use efficient search types

Index Optimization

• Regular index maintenance

• Optimize index settings

• Monitor index performance

• Update index strategies

System Optimization

• Monitor system resources

• Optimize hardware configuration

• Implement caching strategies

• Scale resources as needed

Best Practices

Search Strategy

• Use Specific Terms: Be specific in search queries

• Combine Search Types: Use both semantic and keyword search

• Apply Filters: Use filters to narrow results

• Review Results: Check result relevance and quality

Content Optimization

• Quality Documents: Upload high-quality documents

• Good Metadata: Add comprehensive metadata

• Consistent Tagging: Use consistent tagging strategies

• Regular Updates: Keep content current and updated

Performance Management

• Monitor Performance: Track search performance metrics

• Optimize Indexes: Regular index optimization

• User Training: Train users on effective search techniques

• Feedback Collection: Collect user feedback for improvements

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🔍 Powerful search and retrieval capabilities make your documents easily discoverable and accessible. Master these features to find information quickly and efficiently.