What is Vpuna AI Search?
Vpuna AI Search is a developer-first platform designed to transform how you search your data. It moves beyond traditional keyword matching, enabling you to embed, index, and perform highly relevant semantic and vector search across structured and unstructured content. If you're building modern applications, chatbots, or internal tools that need to understand user intent, Vpuna provides the complete, programmable pipeline you need.
How Vpuna AI Search Solves Your Problems
Classic keyword search often struggles to grasp the nuance of user intent, leading to irrelevant or incomplete results. Queries based on meaning, mood, or complex conditions can leave users frustrated. Vpuna AI Search addresses this by understanding the meaning behind your query, delivering results that match your true intent, not just the words you type. This means users find what they're looking for faster and more accurately, improving their experience with your application or system.
Key Features
Here are some of the essential capabilities Vpuna AI Search offers:
📄 Structured and Unstructured Data Support: Easily ingest data from various sources, whether it's structured JSON or unstructured files like PDF, DOCX, TXT, and more. Vpuna automatically parses your content and allows configurable metadata selection for flexible indexing.
🧠 Semantic and Vector Search: Power meaning-based search experiences. Leveraging pgvector, Vpuna enables vector similarity search, allowing you to find relevant information based on conceptual understanding across all your indexed content.
🔌 API-First Architecture: Integrate intelligent search seamlessly into any application stack using simple, well-documented REST APIs for embedding, indexing, and searching. This design prioritizes developer flexibility and ease of use.
🏗️ Scalable & Managed Infrastructure: Built on a robust foundation using Supabase and pgvector, Vpuna offers a fully managed, scalable index. This infrastructure supports your application from initial prototyping through to production-level loads with confidence.
🖥️ Developer Console with Multi-Tenant Support: Manage your data, users, and search configurations efficiently through a powerful web console. Organize clients, teams, or apps with multi-tenant support, handle file uploads, monitor indexing status, and test queries in the search playground.
Use Cases
See how Vpuna AI Search can be applied to real-world scenarios:
Enhance AI Chatbots with Retrieval: Combine Vpuna's search capabilities with an LLM to create chatbots that can accurately retrieve and reference information from your specific internal documents or knowledge bases, providing grounded, relevant answers.
Build Intelligent Application Search: Integrate semantic search into your SaaS platform, mobile app, or web application to provide users with a more intuitive and effective way to find content, products, or information based on their natural language queries.
Improve Internal Enterprise Search: Transform scattered internal documents, wikis, and knowledge bases into a unified, easily searchable resource. Empower teams to quickly find the information they need, boosting productivity and knowledge sharing.
Why Choose Vpuna AI Search?
Vpuna AI Search is built specifically for developers who need a programmable, self-serve platform for implementing AI-powered search. Its unique combination of robust support for diverse data types (structured and unstructured), a developer-centric API-first design, and a multi-tenant console sets it apart. The open-core architecture also offers flexibility for teams requiring self-hosting or deeper customization.
Conclusion
Vpuna AI Search provides the foundational components for building intelligent search experiences that understand user intent. By offering a complete, developer-friendly pipeline for embedding, indexing, and semantic search, it empowers you to create more intuitive and effective applications.
Explore how Vpuna AI Search can help you build smarter search into your products.





