Ragie

RagieSince 2025-08

Ragie is a fully managed Retrieval-Augmented Generation (RAG) backend engineered to eliminate the operational complexity of building and maintaining custom vector pipelines. It handles document parsing, semantic chunking, embedding generation, vector indexing, and hybrid re-ranking through a single high-performance API endpoint. Instead of configuring separate chunking scripts, vector databases, and re-ranking algorithms, engineering teams connect Ragie directly to their data sources. Ragie continuously keeps embeddings synchronized and provides sub-100ms context retrieval designed specifically for conversational AI assistants and knowledge search engines.

Under the hood, Ragie integrates state-of-the-art document layout models capable of extracting tables, code snippets, PDFs, Notion pages, and Google Docs without formatting degradation. Its retrieval engine blends dense semantic vector search with sparse BM25 keyword matching and cross-encoder re-ranking for maximum recall. Ragie features built-in partition-level access control, ensuring that multi-tenant SaaS applications can isolate tenant data securely while querying a shared knowledge infrastructure.

AgnoSince 2025-10

Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory, knowledge retrieval, and multimodal reasoning capabilities. It is designed to replace bloated agent frameworks with a pure, pythonic developer experience. Agno agents operate up to 10x faster than legacy orchestration libraries by eliminating unnecessary abstractions. With built-in support for vector databases (PgVector, Qdrant, Pinecone), structured output schemas, and agent-to-agent delegating protocols, developers can build complex autonomous assistants with under 20 lines of clean code.

The framework includes first-class multimodal tools allowing agents to analyze images, process video streams, execute code in secure sandboxes, and query SQL databases. Agno agents natively persist session state and user memory in PostgreSQL, making stateful conversations effortless across web sessions. Agno is fully open-source with extensive documentation, offering enterprise-ready middleware for authentication, telemetry, and rate limiting.