yandex-cloud 2025.4.14

/// Defines a chunking strategy where chunks are created with a fixed maximum chunk size and an overlap between consecutive chunks.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct StaticChunkingStrategy {
    /// The maximum number of tokens allowed in a single chunk.
    /// Constraints: must be within the range [100, 2048].
    /// Default value: 800
    #[prost(int64, tag = "1")]
    pub max_chunk_size_tokens: i64,
    /// The number of tokens that should overlap between consecutive chunks.
    /// This allows for some context from the previous chunk to be included in the next chunk.
    /// Constraints: must be less than or equal to half of `max_chunk_size_tokens`.
    /// Default value: 400
    #[prost(int64, tag = "2")]
    pub chunk_overlap_tokens: i64,
}
/// Defines a general strategy for chunking text into smaller segments.
/// Currently, only StaticChunkingStrategy is supported.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ChunkingStrategy {
    #[prost(oneof = "chunking_strategy::Strategy", tags = "1")]
    pub strategy: ::core::option::Option<chunking_strategy::Strategy>,
}
/// Nested message and enum types in `ChunkingStrategy`.
pub mod chunking_strategy {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Strategy {
        #[prost(message, tag = "1")]
        StaticStrategy(super::StaticChunkingStrategy),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct MeanCombinationStrategy {
    /// Technique for averaging relevance scores from different indices. Default is ARITHMETIC
    #[prost(
        enumeration = "mean_combination_strategy::MeanEvaluationTechnique",
        tag = "1"
    )]
    pub mean_evaluation_technique: i32,
    /// Weights used for evaluating the weighted mean of relevance scores. The sum of the values must equal 1.0
    /// If not provided, all scores are given equal weight
    #[prost(double, repeated, tag = "2")]
    pub weights: ::prost::alloc::vec::Vec<f64>,
}
/// Nested message and enum types in `MeanCombinationStrategy`.
pub mod mean_combination_strategy {
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum MeanEvaluationTechnique {
        Unspecified = 0,
        /// <https://en.wikipedia.org/wiki/Arithmetic_mean>
        Arithmetic = 1,
        /// <https://en.wikipedia.org/wiki/Geometric_mean>
        Geometric = 2,
        /// <https://en.wikipedia.org/wiki/Harmonic_mean>
        Harmonic = 3,
    }
    impl MeanEvaluationTechnique {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                MeanEvaluationTechnique::Unspecified => {
                    "MEAN_EVALUATION_TECHNIQUE_UNSPECIFIED"
                }
                MeanEvaluationTechnique::Arithmetic => "ARITHMETIC",
                MeanEvaluationTechnique::Geometric => "GEOMETRIC",
                MeanEvaluationTechnique::Harmonic => "HARMONIC",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "MEAN_EVALUATION_TECHNIQUE_UNSPECIFIED" => Some(Self::Unspecified),
                "ARITHMETIC" => Some(Self::Arithmetic),
                "GEOMETRIC" => Some(Self::Geometric),
                "HARMONIC" => Some(Self::Harmonic),
                _ => None,
            }
        }
    }
}
/// <https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf>
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ReciprocalRankFusionCombinationStrategy {
    /// The parameter k for RRFscore. Default is 60
    #[prost(message, optional, tag = "1")]
    pub k: ::core::option::Option<i64>,
}
/// Combination strategy for merging rankings from different indices
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CombinationStrategy {
    #[prost(oneof = "combination_strategy::Strategy", tags = "1, 2")]
    pub strategy: ::core::option::Option<combination_strategy::Strategy>,
}
/// Nested message and enum types in `CombinationStrategy`.
pub mod combination_strategy {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Strategy {
        #[prost(message, tag = "1")]
        MeanCombination(super::MeanCombinationStrategy),
        #[prost(message, tag = "2")]
        RrfCombination(super::ReciprocalRankFusionCombinationStrategy),
    }
}
/// Configuration for the NgramTokenizer, which splits text into overlapping character sequences (n-grams) of specified lengths.
///
/// Example:
/// Input text: `hello`
/// min_gram = 2, max_gram = 3
///
/// Generated tokens:
/// * For n = 2 (2-character n-grams): `he`, `el`, `ll`, `lo`
/// * For n = 3 (3-character n-grams): `hel`, `ell`, `llo`
///
/// Final tokens: `[he, el, ll, lo, hel, ell, llo]`
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct NgramTokenizer {
    /// Minimum length of characters in a gram. Defaults to 3
    #[prost(message, optional, tag = "1")]
    pub min_gram: ::core::option::Option<i64>,
    /// Maximum length of characters in a gram. Defaults to 4
    #[prost(message, optional, tag = "2")]
    pub max_gram: ::core::option::Option<i64>,
}
/// Normalization strategy for relevance scores from different indices
#[derive(Clone, Copy, Debug, PartialEq, Eq, Hash, PartialOrd, Ord, ::prost::Enumeration)]
#[repr(i32)]
pub enum NormalizationStrategy {
    Unspecified = 0,
    /// <https://en.wikipedia.org/wiki/Feature_scaling#Rescaling_(min-max_normalization>)
    MinMax = 1,
    /// <https://en.wikipedia.org/wiki/Cosine_similarity#L2-normalized_Euclidean_distance>
    L2 = 2,
}
impl NormalizationStrategy {
    /// String value of the enum field names used in the ProtoBuf definition.
    ///
    /// The values are not transformed in any way and thus are considered stable
    /// (if the ProtoBuf definition does not change) and safe for programmatic use.
    pub fn as_str_name(&self) -> &'static str {
        match self {
            NormalizationStrategy::Unspecified => "NORMALIZATION_STRATEGY_UNSPECIFIED",
            NormalizationStrategy::MinMax => "MIN_MAX",
            NormalizationStrategy::L2 => "L2",
        }
    }
    /// Creates an enum from field names used in the ProtoBuf definition.
    pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
        match value {
            "NORMALIZATION_STRATEGY_UNSPECIFIED" => Some(Self::Unspecified),
            "MIN_MAX" => Some(Self::MinMax),
            "L2" => Some(Self::L2),
            _ => None,
        }
    }
}
/// Represents a search index used to store and query data, either using traditional keyword-based text search or vector-based search mechanisms.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SearchIndex {
    /// Unique identifier of the search index.
    #[prost(string, tag = "1")]
    pub id: ::prost::alloc::string::String,
    /// ID of the folder that the search index belongs to.
    #[prost(string, tag = "2")]
    pub folder_id: ::prost::alloc::string::String,
    /// Name of the search index.
    #[prost(string, tag = "3")]
    pub name: ::prost::alloc::string::String,
    /// Description of the search index.
    #[prost(string, tag = "4")]
    pub description: ::prost::alloc::string::String,
    /// Identifier of the subject who created this search index.
    #[prost(string, tag = "5")]
    pub created_by: ::prost::alloc::string::String,
    /// Timestamp representing when the search index was created.
    #[prost(message, optional, tag = "6")]
    pub created_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Identifier of the subject who last updated this search index.
    #[prost(string, tag = "7")]
    pub updated_by: ::prost::alloc::string::String,
    /// Timestamp representing the last time this search index was updated.
    #[prost(message, optional, tag = "8")]
    pub updated_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Configuration for the expiration of the search index, defining when and how the search index will expire.
    #[prost(message, optional, tag = "9")]
    pub expiration_config: ::core::option::Option<
        super::super::super::common::ExpirationConfig,
    >,
    /// Timestamp representing when the search index will expire.
    #[prost(message, optional, tag = "10")]
    pub expires_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Set of key-value pairs that can be used to organize and categorize the search index.
    #[prost(map = "string, string", tag = "11")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// Type of the search index. It can be either a traditional keyword-based text search or a vector-based search.
    #[prost(oneof = "search_index::IndexType", tags = "12, 13, 14")]
    pub index_type: ::core::option::Option<search_index::IndexType>,
}
/// Nested message and enum types in `SearchIndex`.
pub mod search_index {
    /// Type of the search index. It can be either a traditional keyword-based text search or a vector-based search.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum IndexType {
        /// Keyword-based text search index configuration.
        /// This type of index is used for traditional text search, where documents are indexed based on their keywords.
        #[prost(message, tag = "12")]
        TextSearchIndex(super::TextSearchIndex),
        /// Vector-based search index configuration.
        /// This type is used for vector search, where documents are indexed using vector embeddings.
        #[prost(message, tag = "13")]
        VectorSearchIndex(super::VectorSearchIndex),
        /// Hybrid (vector-based + keyword-based) search index configuration
        /// This type is used for hybrid search, where documents are indexed using both keyword-based and vector-based search mechanisms.
        #[prost(message, tag = "14")]
        HybridSearchIndex(super::HybridSearchIndex),
    }
}
/// Defines the configuration for a traditional keyword-based text search index.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TextSearchIndex {
    /// Chunking strategy used to split text into smaller chunks before indexing.
    /// In the case of text search, tokens are individual text characters.
    #[prost(message, optional, tag = "1")]
    pub chunking_strategy: ::core::option::Option<ChunkingStrategy>,
    /// Tokenizer type used for text search. The tokenizer determines how the
    /// input text is broken down into tokens before indexing.
    /// If not specified, the default tokenizer configuration is applied.
    #[prost(oneof = "text_search_index::TextTokenizer", tags = "2")]
    pub text_tokenizer: ::core::option::Option<text_search_index::TextTokenizer>,
}
/// Nested message and enum types in `TextSearchIndex`.
pub mod text_search_index {
    /// Tokenizer type used for text search. The tokenizer determines how the
    /// input text is broken down into tokens before indexing.
    /// If not specified, the default tokenizer configuration is applied.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TextTokenizer {
        /// Tokenizer that generates n-grams.
        #[prost(message, tag = "2")]
        NgramTokenizer(super::NgramTokenizer),
    }
}
/// Defines the configuration for a vector-based search index. This type uses embeddings to represent documents and queries.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct VectorSearchIndex {
    /// The [ID of the model](/docs/foundation-models/concepts/embeddings) to be used for obtaining document text embeddings.
    #[prost(string, tag = "1")]
    pub doc_embedder_uri: ::prost::alloc::string::String,
    /// The [ID of the model](/docs/foundation-models/concepts/embeddings) to be used for obtaining query text embeddings.
    #[prost(string, tag = "2")]
    pub query_embedder_uri: ::prost::alloc::string::String,
    /// Chunking strategy used to split text into smaller chunks before indexing.
    /// In the case of vector search, tokens are produced by the tokenizer from the embedding model.
    #[prost(message, optional, tag = "3")]
    pub chunking_strategy: ::core::option::Option<ChunkingStrategy>,
}
/// Defines the configuration for a hybrid (vector-based + keyword-based) search index. This type uses both embeddings and keyword-based search to represent documents and queries.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct HybridSearchIndex {
    /// Configuration for a traditional keyword-based text search index.
    #[prost(message, optional, tag = "1")]
    pub text_search_index: ::core::option::Option<TextSearchIndex>,
    /// Configuration for a vector-based search index.
    #[prost(message, optional, tag = "2")]
    pub vector_search_index: ::core::option::Option<VectorSearchIndex>,
    /// Common chunking strategy that applies to both text and vector search indexes.
    /// If provided, it overrides the individual chunking strategies in both `text_search_index` and `vector_search_index`.
    /// In this case, both text and vector search will use token-based chunking, where tokens are produced by the tokenizer of the embedding model.
    #[prost(message, optional, tag = "3")]
    pub chunking_strategy: ::core::option::Option<ChunkingStrategy>,
    /// Normalization strategy for relevance scores from different indices. Default is MIN_MAX_STRATEGY
    #[prost(enumeration = "NormalizationStrategy", tag = "4")]
    pub normalization_strategy: i32,
    /// Combination strategy for merging rankings from different indices. Default is arithmetic mean
    #[prost(message, optional, tag = "5")]
    pub combination_strategy: ::core::option::Option<CombinationStrategy>,
}
/// Represents a file that has been indexed within a search index.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SearchIndexFile {
    /// Unique identifier of the file that was used for indexing.
    #[prost(string, tag = "1")]
    pub id: ::prost::alloc::string::String,
    /// ID of the search index that contains this file.
    #[prost(string, tag = "2")]
    pub search_index_id: ::prost::alloc::string::String,
    /// Identifier of the subject who created the file in the search index.
    #[prost(string, tag = "3")]
    pub created_by: ::prost::alloc::string::String,
    /// Timestamp representing when the file was created.
    #[prost(message, optional, tag = "4")]
    pub created_at: ::core::option::Option<::prost_types::Timestamp>,
}
/// Request message for creating multiple files within a search index.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BatchCreateSearchIndexFileRequest {
    #[prost(string, repeated, tag = "1")]
    pub file_ids: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
    #[prost(string, tag = "2")]
    pub search_index_id: ::prost::alloc::string::String,
}
/// Response message for the BatchCreate operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct BatchCreateSearchIndexFileResponse {
    #[prost(message, repeated, tag = "1")]
    pub files: ::prost::alloc::vec::Vec<SearchIndexFile>,
}
/// Request message for retrieving a file from a search index.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetSearchIndexFileRequest {
    /// ID of the file to retrieve.
    #[prost(string, tag = "1")]
    pub file_id: ::prost::alloc::string::String,
    /// ID of the search index that contains the file.
    #[prost(string, tag = "2")]
    pub search_index_id: ::prost::alloc::string::String,
}
/// Request message for listing files in a specific search index.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListSearchIndexFilesRequest {
    /// ID of the search index whose files will be listed.
    #[prost(string, tag = "1")]
    pub search_index_id: ::prost::alloc::string::String,
    /// Maximum number of files to return per page.
    #[prost(int64, tag = "2")]
    pub page_size: i64,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "3")]
    pub page_token: ::prost::alloc::string::String,
}
/// Response message for the list operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListSearchIndexFilesResponse {
    /// List of files in the specified search index.
    #[prost(message, repeated, tag = "1")]
    pub files: ::prost::alloc::vec::Vec<SearchIndexFile>,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// Generated client implementations.
pub mod search_index_file_service_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    use tonic::codegen::http::Uri;
    /// SearchIndexFileService provides operations for managing files within search indexes.
    #[derive(Debug, Clone)]
    pub struct SearchIndexFileServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl SearchIndexFileServiceClient<tonic::transport::Channel> {
        /// Attempt to create a new client by connecting to a given endpoint.
        pub async fn connect<D>(dst: D) -> Result<Self, tonic::transport::Error>
        where
            D: TryInto<tonic::transport::Endpoint>,
            D::Error: Into<StdError>,
        {
            let conn = tonic::transport::Endpoint::new(dst)?.connect().await?;
            Ok(Self::new(conn))
        }
    }
    impl<T> SearchIndexFileServiceClient<T>
    where
        T: tonic::client::GrpcService<tonic::body::BoxBody>,
        T::Error: Into<StdError>,
        T::ResponseBody: Body<Data = Bytes> + Send + 'static,
        <T::ResponseBody as Body>::Error: Into<StdError> + Send,
    {
        pub fn new(inner: T) -> Self {
            let inner = tonic::client::Grpc::new(inner);
            Self { inner }
        }
        pub fn with_origin(inner: T, origin: Uri) -> Self {
            let inner = tonic::client::Grpc::with_origin(inner, origin);
            Self { inner }
        }
        pub fn with_interceptor<F>(
            inner: T,
            interceptor: F,
        ) -> SearchIndexFileServiceClient<InterceptedService<T, F>>
        where
            F: tonic::service::Interceptor,
            T::ResponseBody: Default,
            T: tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
                Response = http::Response<
                    <T as tonic::client::GrpcService<tonic::body::BoxBody>>::ResponseBody,
                >,
            >,
            <T as tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
            >>::Error: Into<StdError> + Send + Sync,
        {
            SearchIndexFileServiceClient::new(
                InterceptedService::new(inner, interceptor),
            )
        }
        /// Compress requests with the given encoding.
        ///
        /// This requires the server to support it otherwise it might respond with an
        /// error.
        #[must_use]
        pub fn send_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.send_compressed(encoding);
            self
        }
        /// Enable decompressing responses.
        #[must_use]
        pub fn accept_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.accept_compressed(encoding);
            self
        }
        /// Limits the maximum size of a decoded message.
        ///
        /// Default: `4MB`
        #[must_use]
        pub fn max_decoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_decoding_message_size(limit);
            self
        }
        /// Limits the maximum size of an encoded message.
        ///
        /// Default: `usize::MAX`
        #[must_use]
        pub fn max_encoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_encoding_message_size(limit);
            self
        }
        /// Creates multiple files within a search index in [asynchronous mode](/docs/foundation-models/concepts/#working-mode).
        pub async fn batch_create(
            &mut self,
            request: impl tonic::IntoRequest<super::BatchCreateSearchIndexFileRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::super::operation::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.searchindex.SearchIndexFileService/BatchCreate",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.searchindex.SearchIndexFileService",
                        "BatchCreate",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Retrieves details of a specific file that has been indexed within a search index.
        pub async fn get(
            &mut self,
            request: impl tonic::IntoRequest<super::GetSearchIndexFileRequest>,
        ) -> std::result::Result<
            tonic::Response<super::SearchIndexFile>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.searchindex.SearchIndexFileService/Get",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.searchindex.SearchIndexFileService",
                        "Get",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// List files that are indexed within a specific search index.
        pub async fn list(
            &mut self,
            request: impl tonic::IntoRequest<super::ListSearchIndexFilesRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListSearchIndexFilesResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.searchindex.SearchIndexFileService/List",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.searchindex.SearchIndexFileService",
                        "List",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
    }
}
/// Request to create a new search index.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateSearchIndexRequest {
    #[prost(string, tag = "1")]
    pub folder_id: ::prost::alloc::string::String,
    /// List of file IDs to be indexed.
    #[prost(string, repeated, tag = "2")]
    pub file_ids: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
    /// Name of the search index.
    #[prost(string, tag = "3")]
    pub name: ::prost::alloc::string::String,
    /// Description of the search index.
    #[prost(string, tag = "4")]
    pub description: ::prost::alloc::string::String,
    /// Expiration configuration for the search index.
    #[prost(message, optional, tag = "5")]
    pub expiration_config: ::core::option::Option<
        super::super::super::common::ExpirationConfig,
    >,
    /// Set of key-value pairs to label the search index.
    #[prost(map = "string, string", tag = "6")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    #[prost(oneof = "create_search_index_request::IndexType", tags = "7, 8, 9")]
    pub index_type: ::core::option::Option<create_search_index_request::IndexType>,
}
/// Nested message and enum types in `CreateSearchIndexRequest`.
pub mod create_search_index_request {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum IndexType {
        /// Configuration for a traditional keyword-based text search index.
        #[prost(message, tag = "7")]
        TextSearchIndex(super::TextSearchIndex),
        /// Configuration for a vector-based search index using embeddings.
        #[prost(message, tag = "8")]
        VectorSearchIndex(super::VectorSearchIndex),
        /// Configuration for a hybrid (vector-based + keyword-based) search index.
        #[prost(message, tag = "9")]
        HybridSearchIndex(super::HybridSearchIndex),
    }
}
/// Request message for retrieving a search index by ID.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetSearchIndexRequest {
    /// ID of the search index to retrieve.
    #[prost(string, tag = "1")]
    pub search_index_id: ::prost::alloc::string::String,
}
/// Request message for updating an existing search index.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateSearchIndexRequest {
    /// ID of the search index to update.
    #[prost(string, tag = "1")]
    pub search_index_id: ::prost::alloc::string::String,
    /// Field mask specifying which fields to update.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
    /// New name for the search index.
    #[prost(string, tag = "3")]
    pub name: ::prost::alloc::string::String,
    /// New description for the search index.
    #[prost(string, tag = "4")]
    pub description: ::prost::alloc::string::String,
    /// New expiration configuration for the search index.
    #[prost(message, optional, tag = "5")]
    pub expiration_config: ::core::option::Option<
        super::super::super::common::ExpirationConfig,
    >,
    /// New set of labels for the search index.
    #[prost(map = "string, string", tag = "6")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
}
/// Request message for deleting a search index by ID.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteSearchIndexRequest {
    /// ID of the search index to delete.
    #[prost(string, tag = "1")]
    pub search_index_id: ::prost::alloc::string::String,
}
/// Response message for the delete operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteSearchIndexResponse {}
/// Request message for listing search indexes in a specific folder.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListSearchIndicesRequest {
    /// Folder ID from which to list search indexes.
    #[prost(string, tag = "1")]
    pub folder_id: ::prost::alloc::string::String,
    /// Maximum number of threads to return per page.
    #[prost(int64, tag = "2")]
    pub page_size: i64,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "3")]
    pub page_token: ::prost::alloc::string::String,
}
/// Response message for the list operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListSearchIndicesResponse {
    /// List of search indexes in the specified folder.
    #[prost(message, repeated, tag = "1")]
    pub indices: ::prost::alloc::vec::Vec<SearchIndex>,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// Generated client implementations.
pub mod search_index_service_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    use tonic::codegen::http::Uri;
    /// SearchIndexService provides operations for managing search indexes.
    #[derive(Debug, Clone)]
    pub struct SearchIndexServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl SearchIndexServiceClient<tonic::transport::Channel> {
        /// Attempt to create a new client by connecting to a given endpoint.
        pub async fn connect<D>(dst: D) -> Result<Self, tonic::transport::Error>
        where
            D: TryInto<tonic::transport::Endpoint>,
            D::Error: Into<StdError>,
        {
            let conn = tonic::transport::Endpoint::new(dst)?.connect().await?;
            Ok(Self::new(conn))
        }
    }
    impl<T> SearchIndexServiceClient<T>
    where
        T: tonic::client::GrpcService<tonic::body::BoxBody>,
        T::Error: Into<StdError>,
        T::ResponseBody: Body<Data = Bytes> + Send + 'static,
        <T::ResponseBody as Body>::Error: Into<StdError> + Send,
    {
        pub fn new(inner: T) -> Self {
            let inner = tonic::client::Grpc::new(inner);
            Self { inner }
        }
        pub fn with_origin(inner: T, origin: Uri) -> Self {
            let inner = tonic::client::Grpc::with_origin(inner, origin);
            Self { inner }
        }
        pub fn with_interceptor<F>(
            inner: T,
            interceptor: F,
        ) -> SearchIndexServiceClient<InterceptedService<T, F>>
        where
            F: tonic::service::Interceptor,
            T::ResponseBody: Default,
            T: tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
                Response = http::Response<
                    <T as tonic::client::GrpcService<tonic::body::BoxBody>>::ResponseBody,
                >,
            >,
            <T as tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
            >>::Error: Into<StdError> + Send + Sync,
        {
            SearchIndexServiceClient::new(InterceptedService::new(inner, interceptor))
        }
        /// Compress requests with the given encoding.
        ///
        /// This requires the server to support it otherwise it might respond with an
        /// error.
        #[must_use]
        pub fn send_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.send_compressed(encoding);
            self
        }
        /// Enable decompressing responses.
        #[must_use]
        pub fn accept_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.accept_compressed(encoding);
            self
        }
        /// Limits the maximum size of a decoded message.
        ///
        /// Default: `4MB`
        #[must_use]
        pub fn max_decoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_decoding_message_size(limit);
            self
        }
        /// Limits the maximum size of an encoded message.
        ///
        /// Default: `usize::MAX`
        #[must_use]
        pub fn max_encoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_encoding_message_size(limit);
            self
        }
        /// Create a new search index in [asynchronous mode](/docs/foundation-models/concepts/#working-mode).
        pub async fn create(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateSearchIndexRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::super::operation::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService/Create",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService",
                        "Create",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Retrieve details of a specific search index by its ID.
        pub async fn get(
            &mut self,
            request: impl tonic::IntoRequest<super::GetSearchIndexRequest>,
        ) -> std::result::Result<tonic::Response<super::SearchIndex>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService/Get",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService",
                        "Get",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Update an existing search index.
        pub async fn update(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateSearchIndexRequest>,
        ) -> std::result::Result<tonic::Response<super::SearchIndex>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService/Update",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService",
                        "Update",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Delete a search index by its ID.
        pub async fn delete(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteSearchIndexRequest>,
        ) -> std::result::Result<
            tonic::Response<super::DeleteSearchIndexResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService/Delete",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService",
                        "Delete",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// List search indexes in a specific folder.
        pub async fn list(
            &mut self,
            request: impl tonic::IntoRequest<super::ListSearchIndicesRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListSearchIndicesResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService/List",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.searchindex.SearchIndexService",
                        "List",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
    }
}