# Retrieval-Augmented Generation (RAG) Workflows

## Documentation for package ‘ragnar’ version 0.3.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

chunks_deoverlap | Merge overlapping chunks in retrieved results
embed_azure_openai | Uses Azure AI Foundry to create embeddings
embed_bedrock | Embed text using a Bedrock model
embed_databricks | Embed text using a Databricks model
embed_google_gemini | Embed using Google Vertex API platform
embed_google_vertex | Embed using Google Vertex API platform
embed_lm_studio | Embed Text
embed_ollama | Embed Text
embed_openai | Embed Text
embed_snowflake | Generate embeddings using Snowflake
MarkdownDocument | Markdown documents
MarkdownDocumentChunks | Markdown documents chunks
markdown_chunk | Chunk a Markdown document
mcp_serve_store | Serve a Ragnar store over MCP
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_atlas | Visualize a store using Embedding Atlas
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_ingest | Concurrently ingest documents into a Ragnar store
ragnar_store_insert | Inserts or updates chunks in a 'RagnarStore'
ragnar_store_inspect | Launch the Ragnar Store Inspector
ragnar_store_update | Inserts or updates chunks in a 'RagnarStore'
read_as_markdown | Convert files to Markdown