Canopy
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Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone. Provides out-of-box RAG solution with support for knowledge base building, semantic search, and context management.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone. Provides out-of-box RAG solution with support for knowledge base building, semantic search, and context management.
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
LightRAG is a simple and fast Retrieval-Augmented Generation framework using graph-enhanced retrieval, published at EMNLP 2025.
Opinionated RAG framework for integrating GenAI into your apps. Works with any LLM, any vectorstore, any files — so you can focus on your product instead of building RAG pipelines.
AI Data Runtime for Agents. Provides serverless Postgres with a multimodal datalake, enabling scalable retrieval and training. Unifies vector storage, dataset management, and streaming data loading for AI agent workflows.