📖 The AI Tool Bible

DeepSearcher vs Weaviate

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
DeepSearcher
RAG
Weaviate
RAG
TaglineOpen-source agentic RAG framework for private enterprise data, built by the Zilliz/Milvus team.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFree· Free, Apache 2.0; bring your own LLM and vector DB costsFreemium· Free open-source; cloud from $25/mo
ModelMulti-model (DeepSeek, OpenAI o1/o3-mini, Claude, Llama, others)Hosted vector DB (not an LLM)
Editorial score—8.4 / 10
Use cases
enterprise-ragagentic-searchprivate-document-qaresearch-agentsknowledge-base-search
self-hosted RAGhybrid search
Pros
  • Apache 2.0, fully self-hostable for private data
  • Agentic multi-step retrieval, not just one-shot RAG
  • Pluggable LLMs and vector stores including Milvus
  • Backed by Zilliz, the team behind Milvus
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • Library/CLI, no hosted product or managed API
  • Web crawling and some loaders still in development
  • Requires engineering effort to deploy and tune
  • Best experience assumes you already run Milvus/Zilliz
  • More ops than Pinecone if self-hosted
  • Smaller community
Websitezilliztech.github.ioweaviate.io
Pick DeepSearcher if
  • ✅ Apache 2.0, fully self-hostable for private data
  • ✅ Agentic multi-step retrieval, not just one-shot RAG
  • ✅ Pluggable LLMs and vector stores including Milvus
  • ✅ Backed by Zilliz, the team behind Milvus
Pick Weaviate if
  • ✅ Hybrid search built in
  • ✅ Self-host or cloud
  • ✅ Module ecosystem
  • ✅ GraphQL + REST APIs
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