Default value functions

Auto-detect

Semantic pipeline defaults

Calculate degree centrality

Delete a workspace

Detect code block boundaries

Detect configuration file format based on extension

Detect heading boundaries (Markdown, RST, plaintext)

Detect list boundaries

Detect paragraph boundaries (double newlines)

Detect sentence boundaries using NLTK-style rules

Depth-First Search (DFS) from a source entity DFS explores as far as possible along each branch before backtracking. Useful for finding all possible

Get style for dimmed/secondary text

Display benchmark results

Get edge count

Count edges from node to a specific community

Enter the alternate screen and enable raw mode

Add retrieved entities

Check if entities are mentioned near a relationship pattern Determines if both entities appear within a 200-character window around a relationship ke

Entity-based search with graph expansion

Count entities in the graph

Estimate the memory size of a cache entry

Estimate memory usage in MB

Execute work in parallel

Leave the alternate screen and disable raw mode

Extract entities from multiple texts in batch

Extract conceptual terms from query Identifies abstract nouns and philosophical terms.

Extract entities and relationships from text using WebLLM

Extract entities (simple keyword extraction)

Extract entities from document (simple keyword extraction)

Extract entity by index from subquery results Retrieves the entity at the specified index position, useful for comparative or relational queries with

Extract clean entity name from an entity ID Entity IDs typically have format "TYPE_normalized_name". This method extracts just the name portion and f

Extract potential entity names from the query

Extract just keyword strings (without scores)

Extract keywords using TF-IDF scoring Returns keywords sorted by TF-IDF score (highest first)

Extract all n-grams from a token sequence

Extract noun phrases

Extract primary entity from results Attempts to identify and extract the main entity being discussed from the first subquery result.

Helper function to fetch URL and return bytes

Find a safe character boundary at or before the given position

Find a safe character boundary within a slice at or before the given position

Find the nearest word boundary going backward from the given position

Generate embeddings for graph

Generate abstractive answer using LLM

Generate a query plan based on the user query

Generate single embedding

Generate a JWT token # Arguments `user_id` - User identifier `role` - User role `duration_hours` - Token validity duration in hours

Generate biased random walks (Node2Vec)

Get a mutable reference to a chunk by ID

Returns the number of document processing operations started

Returns the number of documents processed successfully

Get embedding for a node

Get all entities, optionally filtered

Get all entities in a specific chunk Returns an empty vector if the chunk is not found

Get a mutable reference to an entity by ID

Get the heading path from root to the given section Returns a vector of heading texts in hierarchical order Example: ["Chapter 1", "Section 1.1", "Su

Get node index

Get configuration for a specific level

Get all nodes at a specific level

Gets the current batch processing metrics

Get current performance statistics

Get node positions

Getters for current values Returns the number of queries started

Returns the number of queries that succeeded