Index

_

__init__() (ragit.BenchmarkQuestion method) (ragit.core.experiment.experiment.Chunk method) (ragit.core.experiment.experiment.SimpleVectorStore method) (ragit.core.experiment.results.EvaluationResult method) (ragit.core.experiment.results.ExperimentResults method) (ragit.Document method), [1] (ragit.providers.base.EmbeddingResponse method) (ragit.providers.base.LLMResponse method) (ragit.providers.OllamaProvider method) (ragit.RAGAssistant method) (ragit.RagitExperiment method)

A

add() (ragit.core.experiment.experiment.SimpleVectorStore method) (ragit.core.experiment.results.ExperimentResults method)

add_documents() (ragit.RAGAssistant method) ask() (ragit.RAGAssistant method)

B

BaseEmbeddingProvider (class in ragit.providers.base)

BaseLLMProvider (class in ragit.providers.base) BenchmarkQuestion (class in ragit)

C

chat() (ragit.providers.OllamaProvider method) Chunk (class in ragit.core.experiment.experiment) chunk_by_separator() (in module ragit) chunk_count (ragit.RAGAssistant property) chunk_document() (in module ragit) chunk_index (ragit.core.experiment.experiment.Chunk attribute) chunk_rst_sections() (in module ragit)

chunk_text() (in module ragit) chunks (ragit.core.experiment.experiment.SimpleVectorStore attribute) clear() (ragit.core.experiment.experiment.SimpleVectorStore method) clear_embedding_cache() (ragit.providers.OllamaProvider static method) close() (ragit.providers.OllamaProvider method) content (ragit.core.experiment.experiment.Chunk attribute) (ragit.Document attribute), [1]

D

DEFAULT_TIMEOUTS (ragit.providers.OllamaProvider attribute) define_search_space() (ragit.RagitExperiment method) dimensions (ragit.providers.base.BaseEmbeddingProvider property) (ragit.providers.base.EmbeddingResponse attribute) (ragit.providers.OllamaProvider property)

doc_id (ragit.core.experiment.experiment.Chunk attribute) Document (class in ragit), [1]

E

embed() (ragit.providers.base.BaseEmbeddingProvider method) (ragit.providers.OllamaProvider method) embed_batch() (ragit.providers.base.BaseEmbeddingProvider method) (ragit.providers.OllamaProvider method) embed_batch_async() (ragit.providers.OllamaProvider method) embed_circuit_status (ragit.providers.OllamaProvider property) embedding (ragit.core.experiment.experiment.Chunk attribute) (ragit.providers.base.EmbeddingResponse attribute)

embedding_cache_info() (ragit.providers.OllamaProvider static method) EMBEDDING_DIMENSIONS (ragit.providers.OllamaProvider attribute) EmbeddingResponse (class in ragit.providers.base) evaluate_config() (ragit.RagitExperiment method) EvaluationResult (class in ragit.core.experiment.results) evaluations (ragit.core.experiment.results.ExperimentResults attribute), [1] execution_time (ragit.core.experiment.results.EvaluationResult attribute) ExperimentResults (class in ragit.core.experiment.results)

F

final_score (ragit.core.experiment.results.EvaluationResult attribute)

G

generate() (ragit.providers.base.BaseLLMProvider method) (ragit.providers.OllamaProvider method) (ragit.RAGAssistant method) generate_circuit_status (ragit.providers.OllamaProvider property) generate_code() (ragit.RAGAssistant method)

get_best() (ragit.core.experiment.results.ExperimentResults method) get_best_config() (ragit.RagitExperiment method) get_context() (ragit.RAGAssistant method) get_context_with_window() (ragit.RAGAssistant method) ground_truth (ragit.BenchmarkQuestion attribute)

H

has_llm (ragit.RAGAssistant property)

I

id (ragit.Document attribute), [1] indexing_params (ragit.core.experiment.results.EvaluationResult attribute) inference_params (ragit.core.experiment.results.EvaluationResult attribute) is_available() (ragit.providers.base.BaseEmbeddingProvider method) (ragit.providers.base.BaseLLMProvider method) (ragit.providers.OllamaProvider method)

is_cached() (ragit.core.experiment.results.ExperimentResults method) is_indexed (ragit.RAGAssistant property)

L

list_models() (ragit.providers.OllamaProvider method) LLMResponse (class in ragit.providers.base)

load_directory() (in module ragit) load_index() (ragit.RAGAssistant class method) load_text() (in module ragit)

M

MAX_EMBED_CHARS (ragit.providers.OllamaProvider attribute) metadata (ragit.core.experiment.experiment.Chunk attribute) (ragit.Document attribute), [1]

model (ragit.providers.base.EmbeddingResponse attribute) (ragit.providers.base.LLMResponse attribute)

N

num_chunks (ragit.RAGAssistant property)

num_documents (ragit.RAGAssistant property)

O

OllamaProvider (class in ragit.providers)

P

pattern_name (ragit.core.experiment.results.EvaluationResult attribute) provider (ragit.providers.base.EmbeddingResponse attribute) (ragit.providers.base.LLMResponse attribute) (ragit.RagitExperiment property)

provider_name (ragit.providers.base.BaseEmbeddingProvider property) (ragit.providers.base.BaseLLMProvider property) (ragit.providers.OllamaProvider property)

Q

question (ragit.BenchmarkQuestion attribute)

R

RAGAssistant (class in ragit) RagitExperiment (class in ragit) relevant_doc_ids (ragit.BenchmarkQuestion attribute)

remove_documents() (ragit.RAGAssistant method) retrieve() (ragit.RAGAssistant method) retrieve_with_context() (ragit.RAGAssistant method) run() (ragit.RagitExperiment method)

S

save_index() (ragit.RAGAssistant method) scores (ragit.core.experiment.results.EvaluationResult attribute) (ragit.core.experiment.results.ExperimentResults property)

search() (ragit.core.experiment.experiment.SimpleVectorStore method) session (ragit.providers.OllamaProvider property) SimpleVectorStore (class in ragit.core.experiment.experiment) sorted() (ragit.core.experiment.results.ExperimentResults method)

T

text (ragit.providers.base.LLMResponse attribute)

to_dict() (ragit.core.experiment.results.EvaluationResult method)

U

update_documents() (ragit.RAGAssistant method)

usage (ragit.providers.base.LLMResponse attribute)