MarkdownDocument        Markdown documents
MarkdownDocumentChunks
                        Markdown documents chunks
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_ollama            Embed Text
embed_snowflake         Generate embeddings using Snowflake
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_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
read_as_markdown        Convert files to Markdown
