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HelixDB

Vectara provides a retrieval augmented generation (RAG) platform that enables developers to build AI applications with grounded, hallucination-free responses. Its API-first solution offers a complete toolkit for embedding, indexing, and querying data, allowing businesses to integrate conversational AI capabilities into their products.

Updated 2 months ago

Funding

$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

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Founders

Product

Problem

Building AI applications that require retrieval augmented generation (RAG) often involves complex setups with multiple databases and custom logic, leading to slow development, high maintenance overhead, and scalability challenges. Existing solutions lack seamless integration between graph and vector data, resulting in performance bottlenecks and increased costs.

Solution

HelixDB provides a unified graph-vector database built in Rust, designed to simplify the development of AI applications requiring RAG. It combines vector similarity search with graph traversals in a single query, eliminating the need for complex joins and multiple database calls. The platform offers type-safe query language, ensuring real-time feedback and error detection. HelixDB streamlines the data infrastructure by replacing complex stacks with a single platform, reducing operational overhead and costs associated with managing separate vector and graph databases.

Target Audience

HelixDB targets AI application developers, data scientists, and engineers building RAG-based systems, knowledge graphs, recommendation engines, and other AI-powered applications.

Features

  • Unified graph-vector database supporting both graph and vector data types
  • Hybrid query traversals combining vector similarity search with graph traversals
  • Type-safe query language with real-time feedback and error detection
  • High-performance vector similarity search (~2ms) and graph traversals (sub 1ms)
  • Native support for RAG applications
  • Helix CLI tool for checking, compiling, and deploying Helix locally
  • Client SDKs for TypeScript and Python
  • Managed cloud service option available
This profile is AI-generated and may contain inaccuracies.