
An open-source Python RAG framework for multi-step reasoning, dynamic context retrieval, autonomous routing, and query answering using LangChain or LlamaIndex with vector databases.
Prices and medians update for the tier you select.
Ranked by how closely each one matches Agentic Rag's job. Prices show each provider's Pro state; entry prices are labelled as such. Unpriced products still belong to the market.
Market = the products most similar to this one by capability; prices are median / quartiles over its priced members, separated by provider type and buyer tier.