Retrieval-Augmented Generation (RAG) Workflows


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Documentation for package ‘ragnar’ version 0.2.0

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chunks_deoverlap Merge overlapping chunks in retrieved results
embed_bedrock Embed text using a Bedrock model
embed_databricks Embed text using a Databricks model
embed_google_vertex Embed using Google Vertex API platform
embed_ollama Embed Text
embed_openai Embed Text
MarkdownDocument Markdown documents
MarkdownDocumentChunks Markdown documents chunks
markdown_chunk Chunk a Markdown document
ragnar_chunks_view View chunks with the store inspector
ragnar_find_links Find links on a page
ragnar_register_tool_retrieve Register a 'retrieve' tool with ellmer
ragnar_retrieve Retrieve chunks from a 'RagnarStore'
ragnar_retrieve_bm25 Retrieves chunks using the BM25 score
ragnar_retrieve_vss Vector Similarity Search Retrieval
ragnar_store_build_index Build a Ragnar Store index
ragnar_store_connect Create and connect to a vector store
ragnar_store_create Create and connect to a vector store
ragnar_store_insert Insert chunks into a 'RagnarStore'
ragnar_store_inspect Launches the Ragnar Inspector Tool
ragnar_store_update Inserts or updates chunks in a 'RagnarStore'
read_as_markdown Convert files to Markdown