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.// Document AI

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.

Context-Aware ChunkingMultiple EmbeddingsMultimodalDurable PipelinesTest & EvaluateAgent-Ready
.// How It Works

How Indexing Works

Three essential steps to turn raw documents into precise retrieval for your agents.

.// Step 1

Parse & Chunk

Intelligent splitting that respects document structure. Tables, lists, and sections stay intact.

.// Step 2

Embed & Store

Multiple embedding models, vector + hybrid search. Choose your embedding provider without re-processing.

.// Step 3

Retrieve & Answer

Precise retrieval with citations for AI agents. Documents become instantly available to assistents agents.

.// Key Features

Key Features

Built-in capabilities for production-grade document indexing.

Context-Aware Chunking

Splits documents at semantic boundaries, not arbitrary character counts. Tables, lists, and sections stay intact.

Embedding Model Choice

Use OpenAI, Cohere, or custom embedding models. Switch models without re-processing source documents.

Multimodal Indexing

Index text, tables, charts, and images together for complete document understanding.

Durable Data Pipelines

Set up once, documents auto-index as they arrive. Handles updates, deletions, and version changes.

Test & Evaluate

Built-in evaluation tools to measure retrieval quality and tune chunking parameters before production.

Agent-Ready Retrieval

Indexed documents become instantly available to any assistents agent through the Context Engine.

Millisecond retrieval
Sub-100ms latency for all queries
Any embedding model
OpenAI, Cohere, local, or custom
Auto-sync pipelines
Updates propagate within seconds
Built-in evaluation
Measure and tune retrieval quality

How Indexing Powers Your Agents

Intelligent indexing is the foundation of assistentsContext 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
Explore the Context Engine
Document indexing and agent retrieval flow
.// Get Started

Start Indexing Documents Today

Set up intelligent indexing in minutes. Test retrieval quality with built-in evaluation tools. Connect to any assistents agent.