Retrieval-Augmented Generation (RAG) Workflows


[Up] [Top]

Documentation for package ‘ragnar’ version 0.1.0

Help Pages

embed_bedrock Embed text using a Bedrock model
embed_ollama Embedd Text
embed_openai Embedd Text
markdown_frame Segment markdown text
markdown_segment Segment markdown text
ragnar_chunk Chunk text
ragnar_chunk_segments Chunk text
ragnar_find_links Find links on a page
ragnar_read Read a document as Markdown
ragnar_read_document Read an HTML document
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 Uses vector similarity search
ragnar_retrieve_vss_and_bm25 Retrieve VSS and BM25
ragnar_segment Chunk text
ragnar_store_build_index Build a Ragnar Store index
ragnar_store_connect Connect to 'RagnarStore'
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