pgvector Integrations

In less than 2 minutes, you can create a backend. Get a Postgres database, authentication and instant APIs to start your project. Real-time subscriptions are also available. You can build faster and concentrate on your products. Every project is a Postgres database, the most trusted relational database in the world. You can add user sign-ups or logins to secure your data with Row Level Security. Large files can be stored, organized and served. Any media, including images and videos. Without the need to deploy or scale servers, you can write custom code and cron jobs. There are many starter projects and example apps to help you get started. We will instantly inspect your database and provide APIs. Stop creating repetitive CRUD endpoints. Instead, focus on your product. Type definitions directly from your database schema. Supabase can be used in the browser without a build. You can develop locally and push to production as soon as you are ready. You can manage Supabase projects on your local machine.

Langtrace is a free observability tool which collects and analyses metrics and traces to help you improve LLM apps. Langtrace provides the highest level security. Our cloud platform is SOC 2 Type II-certified, ensuring the highest level of protection for your data. Supports popular LLMs and frameworks. Langtrace is self-hosted, and it supports OpenTelemetry traces that can be ingested into any observability tools of your choice. This means there is no vendor lock-in. With traces and logs that span the framework, vectorDB and LLM requests, you can gain visibility and insights in your entire ML pipeline. Use golden datasets to create and annotate traced LLM interactions and continuously test and improve your AI applications. Langtrace has built-in heuristics, statistical and model-based analyses to support this process.

PostgreSQL, a powerful open-source object-relational database system, has over 30 years of experience in active development. It has earned a strong reputation for reliability and feature robustness.