Struct RagConfig 

pub struct RagConfig {

    pub vector_store: String,
    pub vector_path: String,
    pub embedding_model: String,
    pub sparse_embeddings: bool,
    pub sparse_model: String,
    pub chunking_strategy: String,
    pub chunk_size: usize,
    pub chunk_overlap: usize,
    pub min_chunk_size: usize,
    pub search_strategy: String,
    pub search_limit: usize,
    pub search_threshold: f32,
    pub hybrid_weights: Option<HybridWeightsConfig>,
    pub rerank_enabled: bool,
    pub reranker_model: String,
    pub rerank_weight: f32,
}

RAG (Retrieval Augmented Generation) configuration.

Fields

vector_store: String

Vector store provider: “ares-vector” (default), “qdrant”, “lancedb”, “pgvector”

vector_path: String

Path for persistent vector storage (default: “./data/vectors”)

embedding_model: String

Embedding model to use for vector embeddings (default: “bge-small-en-v1.5”). Available models: bge-small-en-v1.5, bge-base-en-v1.5, bge-large-en-v1.5, all-minilm-l6-v2, all-minilm-l12-v2, nomic-embed-text-v1.5, etc.

sparse_embeddings: bool

Enable sparse embeddings for hybrid search (default: false)

sparse_model: String

Sparse embedding model (default: “splade-pp-en-v1”)

chunking_strategy: String

Chunking strategy: “word” (default), “semantic”, “character”

chunk_size: usize

Size of text chunks for indexing (default: 200 words or 500 chars for semantic).

chunk_overlap: usize

Overlap between consecutive chunks (default: 50).

min_chunk_size: usize

Minimum chunk size to keep (default: 20 chars).

search_strategy: String

Default search strategy: “semantic” (default), “bm25”, “fuzzy”, “hybrid”

search_limit: usize

Default number of results to return (default: 10)

search_threshold: f32

Default similarity threshold (default: 0.0)

hybrid_weights: Option<HybridWeightsConfig>

Hybrid search weights (semantic, bm25, fuzzy) - sum should be 1.0

rerank_enabled: bool

Enable reranking by default (default: false)

reranker_model: String

Reranker model: “bge-reranker-base” (default), “bge-reranker-v2-m3”, “jina-reranker-v1-turbo-en”, “jina-reranker-v2-base-multilingual”

rerank_weight: f32

Weight for combining rerank and retrieval scores (default: 0.6)

Trait Implementations

impl Clone for RagConfig

fn clone(&self) -> RagConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for RagConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for RagConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for RagConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for RagConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.