CogniWeave vs. Weaviate: a feature comparison.
Weaviate is a strong general-purpose vector database. CogniWeave is an end-to-end RAG platform built on its own stack. Here's how they differ on retrieval, ingestion, output, ops, and price.
Retrieval
- • Hybrid search (BM25 + vector): CogniWeave yes · Weaviate yes
- • Embedding providers: CogniWeave managed · Weaviate OpenAI, Cohere, HuggingFace, custom
- • Reranking: CogniWeave built-in · Weaviate optional, bring-your-own
Ingestion
- • OCR (tesseract + ocrmypdf): CogniWeave yes · Weaviate no
- • Auto-chunking via memory engine stages: CogniWeave yes · Weaviate no
- • Formats: CogniWeave PDF, DOCX, XLSX, PPT, EML, images, text, code · Weaviate JSON, text, CSV
Output
- • Citations (unit_id, final_score, source_file): CogniWeave yes · Weaviate no
- • Workspace isolation: CogniWeave per-workspace per-tenant · Weaviate multi-tenancy module
- • Audit logging: CogniWeave yes · Weaviate optional
Operations
- • Hosting: CogniWeave managed cloud · Weaviate cloud + self-hosted
- • Setup time: CogniWeave ~5 min · Weaviate 30+ min (schema design, indexing, tuning)
- • Required expertise: CogniWeave Python or REST · Weaviate Weaviate-specific schema knowledge
Where CogniWeave wins
Ingestion speed (OCR baked in), citations as a first-class output, and out-of-the-box retrieval that works without schema design. See pricing comparison for cost breakdown.
Where Weaviate wins
Provider flexibility for embeddings, a mature open-source ecosystem with community modules, and on-premise deployment if you need it.
Common questions
Can I migrate from Weaviate to CogniWeave?
Yes. Export your source documents, point them at CogniWeave's ingestion API, and re-chunk through our OCR and memory pipeline. Raw vector export is not required because the embeddings are regenerated to match our retrieval stack.
Does CogniWeave use Weaviate under the hood?
No. CogniWeave is a managed AI memory platform with its own ingestion, indexing, and cited-retrieval engine. There is no Weaviate dependency in the stack.
Can I bring my own embedding model?
Not yet—CogniWeave currently standardizes on its managed embedding model for consistent retrieval quality. Multi-provider embeddings are on the roadmap.
What about self-hosting?
CogniWeave is cloud-only today. If you need on-premise, Weaviate's open-source distribution is a reasonable choice; talk to us about private deployments for regulated industries.