📖 The AI Tool Bible

CocoIndex vs Weaviate

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

 
CocoIndex
RAG
Weaviate
RAG
TaglineOpen-source incremental data framework that keeps RAG indexes and agent context continuously fresh.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFree· Open-source, self-hosted; bring your own infraFreemium· Free open-source; cloud from $25/mo
ModelBring-your-own (embeddings + LLM)Hosted vector DB (not an LLM)
Editorial score—8.4 / 10
Use cases
code-indexingrag-pipelinesagent-contextknowledge-graphssemantic-search
self-hosted RAGhybrid search
Pros
  • Incremental reprocessing keeps indexes sub-second fresh without full reruns
  • AST-aware code indexing with call graphs, not just naive text chunking
  • Open source and self-hosted; works with Postgres/pgvector
  • Declarative Python API with lineage and schema evolution built in
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • Self-hosted only - you operate the database, embeddings, and LLM yourself
  • Python-only framework; no managed cloud or hosted UI
  • Younger ecosystem than LlamaIndex or LangChain
  • More ops than Pinecone if self-hosted
  • Smaller community
Websitecocoindex.ioweaviate.io
Pick CocoIndex if
  • ✅ Incremental reprocessing keeps indexes sub-second fresh without full reruns
  • ✅ AST-aware code indexing with call graphs, not just naive text chunking
  • ✅ Open source and self-hosted; works with Postgres/pgvector
  • ✅ Declarative Python API with lineage and schema evolution built in
Pick Weaviate if
  • ✅ Hybrid search built in
  • ✅ Self-host or cloud
  • ✅ Module ecosystem
  • ✅ GraphQL + REST APIs
Compare a different pair →