RAG
Retrieval-augmented generation, vector stores, indexers.
74 tools
RAG isn't a model, it's an architecture β retrieve, augment, generate. The choice is between frameworks that orchestrate the retrieval and the vector stores underneath.
Includes RAG frameworks (LlamaIndex, LangChain), managed vector databases (Pinecone), open-source vector stores (Weaviate, Chroma, Vespa), and hybrid-search engines.
Pick LlamaIndex when retrieval quality is the bottleneck. Pick Pinecone for zero-ops production. Pick Weaviate or Chroma for self-hosted or budget-conscious. Pick Vespa at scale beyond a few million docs.
aiPDF
Chat-with-your-documents app that ingests PDFs, EPUBs, web pages and YouTube videos with cited answers.
Cosmos
AI-powered archive search and reel curation for video production companies.