CAP-01Active
Context-Aware Chunking
Splits documents at semantic boundaries, not arbitrary character counts. Tables, lists, and sections stay intact.
SHEET 01Document AIINDEXING
Index once. Retrieve with precision.
Intelligent document indexing that chunks, embeds, and organizes your documents for retrieval-augmented generation. Context-aware chunking preserves meaning across tables, sections, and page breaks.
SHEET 02Pipeline3 STAGES
How Indexing Works
Three essential steps to turn raw documents into precise retrieval for your agents.
STEP 01Parse & Chunk
Intelligent splitting that respects document structure. Tables, lists, and sections stay intact.
STEP 02Embed & Store
Multiple embedding models, vector + hybrid search. Choose your embedding provider without re-processing.
STEP 03Retrieve & Answer
Precise retrieval with citations for AI agents. Documents become instantly available to assistents agents.
Raw documents context-aware chunking agent-ready retrieval
SHEET 03CapabilitiesCAP-01..06
Key Features
Built-in capabilities for production-grade document indexing.
CAP-02Active
Embedding Model Choice
Use OpenAI, Cohere, or custom embedding models. Switch models without re-processing source documents.
CAP-03Active
Multimodal Indexing
Index text, tables, charts, and images together for complete document understanding.
CAP-04Active
Durable Data Pipelines
Set up once, documents auto-index as they arrive. Handles updates, deletions, and version changes.
CAP-05Active
Test & Evaluate
Built-in evaluation tools to measure retrieval quality and tune chunking parameters before production.
CAP-06Active
Agent-Ready Retrieval
Indexed documents become instantly available to any assistents agent through the Context Engine.
SHEET 04TelemetryPROOF
Measured in production
Retrieval latency, model flexibility, and pipeline freshness, read off the instruments.
Millisecond retrievalSub-100ms latency for all queries
Any embedding modelOpenAI, Cohere, local, or custom
Auto-sync pipelinesUpdates propagate within seconds
Built-in evaluationMeasure and tune retrieval quality
SHEET 05OrchestrationCTX
How Indexing Powers Your Agents
Intelligent indexing is the foundation of assistents’ Context Engine. Once documents are indexed, any agent can retrieve relevant context in milliseconds, grounding responses in your data.
- Agents query indexed documents without re-processing
- Retrieval includes source citations for transparency
- Hybrid search combines vector + keyword retrieval for precision
- Auto-sync pipelines keep agents working with live data
SHEET 06Sign-offREADY
Start Indexing Documents Today
Set up intelligent indexing in minutes. Test retrieval quality with built-in evaluation tools. Connect to any assistents agent.
- Product
- Document AI · Intelligent Indexing
- Pipeline
- Parse · Embed · Retrieve
- Setup
- Minutes to first index
- Sheet
- 6 of 6 · Indexing