Tembo AI

What is Tembo AI?

Tembo AI is a developer-focused platform that simplifies building AI applications by tightly integrating AI models and vector search capabilities directly within PostgreSQL. It offers a unified environment where developers can manage embeddings, run chat and language models, and build sophisticated AI-powered features using SQL and HTTP interfaces. Designed for both cloud and self-hosted deployments, Tembo AI supports privacy-conscious use cases by enabling self-hosted LLMs and GPU acceleration, making it a comprehensive solution for AI app development on top of a robust Postgres foundation.

Key Features

• PostgreSQL-Native AI Integration

  Built on PostgreSQL with specialized extensions like vector and pg_vectorize, enabling native embedding storage, updates, and direct chat model calls from SQL.

• Multi-Model Support with GPU Acceleration

  Supports a range of LLMs including Meta-Llama-3-8B-Instruct, with GPU compute options for improved latency and throughput.

• Flexible Deployment Options

  Available as a managed cloud service (Tembo Cloud) or self-hosted in Kubernetes clusters for full control over data and infrastructure.

• OpenAI-Compatible API

  Offers HTTP API fully compatible with OpenAI’s schema, allowing easy integration and drop-in replacement for existing AI workflows.

• Simplified AI Application Development

  Combines database, vector store, model hosting, and guardrails into a single platform to reduce complexity for engineering teams.

• Transparent Usage-Based Pricing

  Flat-rate billing at $0.15 per 1M tokens for cloud users, with detailed usage tracking and no hidden fees.

Use Cases

• AI-Powered Customer Support : Integrate chatbots that retrieve relevant information from company knowledge bases to provide accurate, real-time customer responses.
• Fraud Detection and Document Analysis : Deploy models to identify fraudulent transactions and group similar documents for legal and contract management.
• Personalized Recommendations : Use AI to analyze user behavior and preferences, delivering tailored product, travel, or service suggestions.
• AI-Driven Predictive Analytics : Leverage machine learning models for demand forecasting, delay prediction, and operational optimization in industries like travel.
• Developer-Centric AI Application Building : Enable engineering teams to build and ship AI applications quickly with minimal infrastructure overhead and seamless Postgres integration.

FAQs