RAG & Retrieval Frameworks
Data-focused frameworks for retrieval-augmented generation
3 frameworks in this category
LlamaIndexOfficial
RAG & RetrievalData framework for connecting LLMs to external data. Specializes in ingestion, indexing, and retrieval with advanced RAG patterns, query engines, and agent workflows.
PythonTypeScript
by LlamaIndex37.8k9 features
pip install llama-indexHaystackOfficial
RAG & RetrievalProduction-ready framework for building RAG pipelines, semantic search, and question answering systems. Component-based architecture with strong focus on retrieval quality.
Python
by deepset18.6k8 features
pip install haystack-aiRAG & Retrieval
All-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. Combines vector search with RAG pipelines in a single library.
Python
by NeuML9.4k8 features
pip install txtai