deeplake
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
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deeplake vs quivr
6 of 12 recorded facts differ. Everything below is source-reported with a capture date. Niched has not published a buyer verdict for this pair, so nothing here declares a winner. A winner only exists inside a defined buyer niche with stated constraints.
quivr
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
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Show all 12 rows| Fact | deeplake | quivr |
|---|---|---|
| GitHub stars | 9.2K | 39.4K |
| Forks | 723 | 3.7K |
| Open issues | 69 | 36 |
| Last commit | 2 months ago | 1 years ago |
| Primary language | C++ | Python |
| License | Apache License 2.0 | Other |
Where both compete
Both products are placed in Backend-as-a-service & databases. A category organises the market; it carries no score. See all deeplake alternatives.