Knowledge Infrastructure for Modern AI
Coltex transforms documentation, APIs, source code, SQL, architecture, and enterprise knowledge into intelligent context for AI systems. Build reliable Retrieval-Augmented Generation (RAG), AI agents, and enterprise search without constantly retraining models.
Built for modern AI teams
AI is only as good as the knowledge behind it.
Traditional documentation is scattered.
Knowledge lives across wikis, tickets, repositories, and databases with no unified structure for AI systems to access.
Basic RAG retrieves poor context.
Naive chunk retrieval returns loosely related fragments without understanding how information connects.
Constant retraining wastes time and resources.
Fine-tuning models every time knowledge changes is expensive, slow, and always out of date.
One platform for intelligent knowledge.
Coltex processes knowledge once and makes it available to every AI system in your organization—eliminating duplication, reducing cost, and improving accuracy.
Knowledge Processing
Ingest and structure documents, code, APIs, and data into clean, queryable knowledge units.
Semantic Retrieval
Return the most relevant, connected context for every query with precision ranking.
Knowledge Graph
Map relationships across your knowledge so context is connected, not just adjacent.
Model Agnostic
One knowledge layer that works with any language model, framework, or AI application.
Architecture
A clean pipeline from raw knowledge sources to production AI applications.
Features
Everything you need to build AI systems that understand your organization.
Enterprise Knowledge
Unify documentation, wikis, and institutional knowledge into one searchable layer.
Semantic Search
Find information by meaning, not just keywords, across all connected sources.
Hybrid Retrieval
Combine vector search with keyword matching for the most accurate results.
GraphRAG
Leverage knowledge graph relationships for deeper, more contextual retrieval.
Metadata Filtering
Narrow results by source, date, team, or custom attributes for precise context.
Code Search
Index and search source code with understanding of structure and dependencies.
SQL Search
Query and retrieve structured data from databases alongside unstructured content.
API Search
Index API documentation and schemas for accurate integration context.
Embeddings
Generate and manage vector embeddings optimized for your knowledge domain.
Dataset Generation
Create training and evaluation datasets from your structured knowledge base.
REST API
Integrate knowledge retrieval into any application with a simple, documented API.
Security
Enterprise-grade access controls, encryption, and audit logging built in.
Why Coltex
Without Coltex
- Scattered documentation
- Slow search
- Poor AI answers
- Difficult scaling
- Model lock-in
With Coltex
- Centralized knowledge
- Intelligent retrieval
- Better context
- Enterprise scale
- Works with multiple models
Built for Everyone
Developers
Build AI products faster.
Integrate intelligent retrieval with a single API. Skip building knowledge infrastructure from scratch and focus on your product.
Startups
Launch intelligent applications.
Ship RAG, agents, and search features without a dedicated ML team. Scale knowledge as your product grows.
Enterprise
Power organization-wide knowledge systems.
Unify institutional knowledge across teams and departments with governance, security, and enterprise-grade reliability.
Core Principles
Reliable
Consistent, accurate retrieval backed by source attribution and continuous indexing.
Scalable
Architecture designed to handle enterprise knowledge volumes without degradation.
Model Agnostic
Works with any language model. Swap providers without rebuilding your knowledge layer.
Enterprise Ready
Security, governance, and compliance built in from the ground up.
Build AI that understands your knowledge.
Coltex gives your AI systems the structured, connected context they need to deliver accurate, reliable answers.