Raglite is a lightweight framework for building Retrieval-Augmented Generation (RAG) pipelines with minimal configuration. It connects large language models to vector databases for context-aware responses, enabling developers to prototype and deploy RAG systems quickly. Raglite focuses on simplicity and modularity for fast experimentation.
Features
- Build RAG pipelines using plug-and-play components
- Connects LLMs to vector stores like Pinecone or FAISS
- Simple Python interface with minimal boilerplate
- Supports embedding models and custom retrieval logic
- Streamlined setup for prototyping and evaluation
- Ideal for chatbots, Q&A systems, and document search
Project Samples
Categories
FrameworksLicense
Mozilla Public License 1.0 (MPL)Follow Raglite
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