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Ship reliable RAG systems with automated evaluation and monitoring

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Quickstart

Getting Started

Get up and running in minutes

  • IntroductionWhat is Vecta and why use it?
  • QuickstartConnect, benchmark, and evaluate in 5 minutes
  • Accessor SyntaxHow to map your database schema

Data Sources

Connect your databases and files

  • OverviewUnderstanding data sources in Vecta
  • File StoresIngest PDFs, docs, and other files directly
  • Vector DatabasesConnect ChromaDB, Pinecone, Weaviate, and more

Benchmarks

Create and manage test datasets

  • OverviewWhat are benchmarks and how to use them
  • CSV UploadImport existing Q&A datasets from CSV
  • Hugging FaceUse GPQA Diamond, MS MARCO, and other datasets
  • Synthetic GenerationAuto-generate benchmarks from your data

Evaluations

Test and measure your RAG system

  • OverviewUnderstanding evaluation types and metrics
  • Retrieval OnlyTest search quality without generation
  • Generation OnlyTest LLM response quality
  • Retrieval + GenerationTest your complete RAG pipeline

Advanced

CI/CD and production workflows

  • CI/CD IntegrationRun evaluations in GitHub Actions

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Evaluation infrastructure for trustworthy AI systems. Measure retrieval, precision, and hallucinations in one platform.

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