A Distributed RAG System with Kafka, ChromaDB, and gRPC
At JoLoMo LLC, we are building a scalable, distributed RAG system leveraging Kafka (3-node Kraft cluster), ChromaDB, and gRPC for high-performance document ingestion, storage, and retrieval. Our event-driven architecture allows us to process large workloads efficiently across multiple servers while ensuring fast, intelligent querying using embeddings from Ollama.
By choosing gRPC over REST, we ensure low-latency, high-throughput communication, with native streaming support for handling large documents. Our system is already distributed, but we’re working on further scalability improvements, including advanced query optimization, Kubernetes orchestration, and multi-tenant support.
Read the full article to learn how we’re building the future of AI-powered document retrieval and knowledge management.
