Vector DB

Weaviate

Open-source vector engine with built-in Weaviate Agents (Query, Transformation, Personalization), Hybrid Search 2.0, and multi-tenant architecture.

open-source-or-cloud · $0-$45/mo

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Features

  • Weaviate Agents for natural-language data operations
  • Hybrid Search 2.0 (BM25 + vector, 60% faster)
  • Built-in embedding service (no external API needed)
  • Multi-tenancy for per-customer data isolation
  • Named vectors and multi-vector search

Best use cases

Best use cases

Research Assistant

Researchers spend 3-5 hours filtering through sources, cross-referencing claims, and organizing conclusions for a single research question. Manual synthesis is error-prone, sources get lost, and findings are hard to reproduce.

Open Guide

Knowledge Base Agent

Internal knowledge is scattered across Notion, Confluence, Google Drive, and Slack. Employees spend 20% of their week searching for information, and answers are inconsistent because no one knows which document is the current source of truth.

Open Guide

Multi-Agent System

Single-agent systems break down for complex tasks that require specialist knowledge across multiple domains. One agent cannot be expert at research, coding, analysis, and communication simultaneously, leading to shallow results on multi-step workflows.

Open Guide

Compatible tools

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LangChain

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Qdrant

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Supabase

Postgres backend with built-in pgvector for vector search, hybrid search (BM25 + vector), auth, real-time subscriptions, edge functions, and row-level security.

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