
RagBucket packages semantic vectors, FAISS indexes, chunks, retrieval memory, and runtime metadata into a single portable `.rag` artifact. Most RAG systems today are tightly coupled to vector DBs and retrieval pipelines. RagBucket makes retrieval memory portable and reusable across projects, environments, and providers. Build once. Query anywhere. Supports: • OpenAI • Cohere • Gemini • Voyage AI • Groq • Anthropic • Local SentenceTransformers
RagBucket is a developer tool that consolidates semantic vectors, FAISS indexes, and retrieval memory into a single portable `.rag` artifact, enabling cross-project and cross-environment reuse. It supports various AI models and frameworks, facilitating flexible integration without dependency on specific vector databases.