RAG Engine
Smart Filtering

Metadata Filtering

Precisely filter and retrieve documents using custom metadata attributes for highly relevant results.

The Challenge

Without metadata filtering, RAG systems return results based solely on semantic similarity, missing important contextual constraints like date ranges, categories, or access permissions.

How It Works

1

Define Metadata Schema

Create custom metadata fields for your documents including dates, categories, tags, and permissions.

2

Tag Your Documents

Automatically or manually assign metadata values to each document during ingestion.

3

Filter on Query

Apply metadata filters at query time to narrow results to exactly what you need.

Benefits

Precise Results

Get exactly the documents you need by combining semantic search with metadata constraints.

Access Control

Implement document-level security by filtering based on user permissions and roles.

Time-Based Filtering

Retrieve only recent or historically relevant documents based on date metadata.

Category Segmentation

Organize and retrieve documents by department, project, or any custom taxonomy.

Comparison

FeatureRAG EngineChatbaseCustomGPTDify
Custom Metadata Fields
Partial
Boolean Filter Operations
Range Queries
Nested Metadata Support
Partial

Based on publicly available feature lists as of 2024

Use Cases

Legal Document Search

Filter case documents by jurisdiction, date, case type, and confidentiality level.

Multi-Tenant Applications

Ensure users only access documents belonging to their organization or account.

Product Catalogs

Filter products by category, price range, availability, and specifications.

News & Content Archives

Search articles by publication date, author, topic, and content type.

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