neomemx 0.1.2

A high-performance memory library for AI agents with semantic search
Documentation
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//! ChromaDB vector store implementation

use std::collections::HashMap;

use async_trait::async_trait;
use reqwest::Client;
use serde::{Deserialize, Serialize};
use tracing::{debug, error, info, warn};

use super::base::{Filters, OutputData, VectorStoreBase};
use crate::config::ChromaConfig;
use crate::error::{NeomemxError, Result};

const SEARCH_INCLUDE: &[&str] = &["metadatas", "distances"];
const GET_INCLUDE: &[&str] = &["metadatas"];

/// ChromaDB vector store client
pub struct ChromaDB {
    config: ChromaConfig,
    client: Client,
    base_url: String,
    tenant: String,
    database: String,
    collection_id: Option<String>,
}

#[derive(Debug, Deserialize)]
struct CollectionResponse {
    id: String,
    name: String,
}

#[derive(Debug, Serialize)]
struct AddRequest {
    ids: Vec<String>,
    embeddings: Vec<Vec<f32>>,
    #[serde(skip_serializing_if = "Option::is_none")]
    metadatas: Option<Vec<HashMap<String, serde_json::Value>>>,
}

#[derive(Debug, Serialize)]
struct QueryRequest {
    query_embeddings: Vec<Vec<f32>>,
    n_results: usize,
    #[serde(skip_serializing_if = "Option::is_none")]
    r#where: Option<serde_json::Value>,
    include: Vec<String>,
}

#[derive(Debug, Deserialize)]
struct QueryResponse {
    ids: Vec<Vec<String>>,
    distances: Option<Vec<Vec<f32>>>,
    metadatas: Option<Vec<Vec<HashMap<String, serde_json::Value>>>>,
}

#[derive(Debug, Serialize)]
struct GetRequest {
    ids: Vec<String>,
    include: Vec<String>,
}

#[derive(Debug, Deserialize)]
struct GetResponse {
    ids: Vec<String>,
    metadatas: Option<Vec<HashMap<String, serde_json::Value>>>,
}

#[derive(Debug, Serialize)]
struct UpdateRequest {
    ids: Vec<String>,
    #[serde(skip_serializing_if = "Option::is_none")]
    embeddings: Option<Vec<Vec<f32>>>,
    #[serde(skip_serializing_if = "Option::is_none")]
    metadatas: Option<Vec<HashMap<String, serde_json::Value>>>,
}

#[derive(Debug, Serialize)]
struct DeleteRequest {
    ids: Vec<String>,
}

impl ChromaDB {
    /// Create a new ChromaDB client
    pub async fn new(config: ChromaConfig) -> Result<Self> {
        let base_url = config
            .get_base_url()
            .unwrap_or("http://localhost:8000".to_string());

        let client = Client::builder().no_proxy().build().map_err(|e| {
            NeomemxError::VectorStoreError(format!("Failed to create HTTP client: {}", e))
        })?;
        let mut chroma = Self {
            config,
            client,
            base_url,
            tenant: "default_tenant".to_string(),
            database: "default_database".to_string(),
            collection_id: None,
        };
        chroma.ensure_collection().await?;
        Ok(chroma)
    }

    /// Get the base collections URL
    fn collections_base_url(&self) -> String {
        format!(
            "{}/api/v2/tenants/{}/databases/{}/collections",
            self.base_url, self.tenant, self.database
        )
    }

    /// Ensure the collection exists
    async fn ensure_collection(&mut self) -> Result<()> {
        let get_url = format!(
            "{}/{}",
            self.collections_base_url(),
            self.config.collection_name
        );

        debug!(
            "Checking for existing collection: {}",
            self.config.collection_name
        );

        let get_response = self.client.get(&get_url).send().await;

        if let Ok(response) = get_response {
            if response.status().is_success() {
                if let Ok(collection) = response.json::<CollectionResponse>().await {
                    info!(
                        "Found existing collection: {} ({})",
                        collection.name, collection.id
                    );
                    self.collection_id = Some(collection.id);
                    return Ok(());
                }
            }
        }

        let create_url = self.collections_base_url();
        debug!("Creating collection: {}", self.config.collection_name);

        let request = serde_json::json!({
            "name": self.config.collection_name
        });

        let response = self
            .client
            .post(&create_url)
            .json(&request)
            .send()
            .await
            .map_err(|e| {
                NeomemxError::VectorStoreError(format!("Failed to connect to ChromaDB: {}", e))
            })?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to create collection: {}",
                body
            )));
        }

        let collection: CollectionResponse = response.json().await.map_err(|e| {
            NeomemxError::VectorStoreError(format!("Failed to parse collection response: {}", e))
        })?;

        info!(
            "Created collection: {} ({})",
            collection.name, collection.id
        );
        self.collection_id = Some(collection.id);

        Ok(())
    }

    /// Get the collection endpoint URL
    fn collection_url(&self) -> Result<String> {
        let collection_id = self.collection_id.as_ref().ok_or_else(|| {
            NeomemxError::VectorStoreError("Collection not initialized".to_string())
        })?;
        Ok(format!("{}/{}", self.collections_base_url(), collection_id))
    }

    /// Convert filters to ChromaDB where clause format
    fn generate_where_clause(filters: &Filters) -> serde_json::Value {
        let mut processed: Vec<serde_json::Value> = Vec::new();

        for (key, value) in filters {
            if key == "$or" || key == "$and" || key == "$not" {
                // Pass through logical operators
                processed.push(serde_json::json!({ key: value }));
                continue;
            }

            if let serde_json::Value::Object(ops) = value {
                for (op, val) in ops {
                    let chroma_op = match op.as_str() {
                        "eq" => "$eq",
                        "ne" => "$ne",
                        "gt" => "$gt",
                        "gte" => "$gte",
                        "lt" => "$lt",
                        "lte" => "$lte",
                        "in" => "$in",
                        "nin" => "$nin",
                        _ => "$eq",
                    };
                    processed.push(serde_json::json!({ key: { chroma_op: val } }));
                }
            } else if value.as_str() != Some("*") {
                // Simple equality (skip wildcards)
                processed.push(serde_json::json!({ key: { "$eq": value } }));
            }
        }

        if processed.is_empty() {
            serde_json::Value::Null
        } else if processed.len() == 1 {
            processed.into_iter().next().unwrap()
        } else {
            serde_json::json!({ "$and": processed })
        }
    }

    /// Parse query response into OutputData
    fn parse_query_response(response: QueryResponse) -> Vec<OutputData> {
        let ids = response.ids.into_iter().next().unwrap_or_default();
        let distances = response
            .distances
            .and_then(|d| d.into_iter().next())
            .unwrap_or_default();
        let metadatas = response
            .metadatas
            .and_then(|m| m.into_iter().next())
            .unwrap_or_default();

        ids.into_iter()
            .enumerate()
            .map(|(i, id)| {
                OutputData::new(
                    id,
                    distances.get(i).copied(),
                    metadatas.get(i).cloned().unwrap_or_default(),
                )
            })
            .collect()
    }
}

#[async_trait]
impl VectorStoreBase for ChromaDB {
    async fn create_collection(&self, name: &str) -> Result<()> {
        let request = serde_json::json!({
            "name": name
        });

        let url = self.collections_base_url();

        let response = self.client.post(&url).json(&request).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to create collection: {}",
                body
            )));
        }

        Ok(())
    }

    async fn insert(
        &self,
        vectors: Vec<Vec<f32>>,
        payloads: Option<Vec<HashMap<String, serde_json::Value>>>,
        ids: Option<Vec<String>>,
    ) -> Result<()> {
        let ids = ids.unwrap_or_else(|| {
            (0..vectors.len())
                .map(|_| uuid::Uuid::new_v4().to_string())
                .collect()
        });

        info!("Inserting {} vectors into collection", vectors.len());

        let request = AddRequest {
            ids,
            embeddings: vectors,
            metadatas: payloads,
        };

        let url = format!("{}/add", self.collection_url()?);

        let response = self.client.post(&url).json(&request).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            error!("Failed to insert vectors: {}", body);
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to insert vectors: {}",
                body
            )));
        }

        Ok(())
    }

    async fn search(
        &self,
        _query: &str,
        vectors: &[f32],
        limit: usize,
        filters: Option<Filters>,
    ) -> Result<Vec<OutputData>> {
        let where_clause = filters.as_ref().map(Self::generate_where_clause);

        let request = QueryRequest {
            query_embeddings: vec![vectors.to_vec()],
            n_results: limit,
            r#where: where_clause.filter(|v| !v.is_null()),
            include: SEARCH_INCLUDE.iter().map(|s| (*s).to_string()).collect(),
        };

        let url = format!("{}/query", self.collection_url()?);

        let response = self.client.post(&url).json(&request).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to search vectors: {}",
                body
            )));
        }

        let query_response: QueryResponse = response.json().await.map_err(|e| {
            NeomemxError::VectorStoreError(format!("Failed to parse query response: {}", e))
        })?;

        Ok(Self::parse_query_response(query_response))
    }

    async fn delete(&self, vector_id: &str) -> Result<()> {
        self.delete_batch(&[vector_id.to_string()]).await
    }

    async fn delete_batch(&self, vector_ids: &[String]) -> Result<()> {
        if vector_ids.is_empty() {
            return Ok(());
        }

        let request = DeleteRequest {
            ids: vector_ids.to_vec(),
        };

        let url = format!("{}/delete", self.collection_url()?);

        let response = self.client.post(&url).json(&request).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to delete vectors: {}",
                body
            )));
        }

        Ok(())
    }

    async fn update(
        &self,
        vector_id: &str,
        vector: Option<Vec<f32>>,
        payload: Option<HashMap<String, serde_json::Value>>,
    ) -> Result<()> {
        let request = UpdateRequest {
            ids: vec![vector_id.to_string()],
            embeddings: vector.map(|v| vec![v]),
            metadatas: payload.map(|p| vec![p]),
        };

        let url = format!("{}/update", self.collection_url()?);

        let response = self.client.post(&url).json(&request).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to update vector: {}",
                body
            )));
        }

        Ok(())
    }

    async fn get(&self, vector_id: &str) -> Result<Option<OutputData>> {
        let results = self.get_batch(&[vector_id.to_string()]).await?;
        Ok(results.into_iter().next())
    }

    async fn get_batch(&self, vector_ids: &[String]) -> Result<Vec<OutputData>> {
        if vector_ids.is_empty() {
            return Ok(Vec::new());
        }

        let request = GetRequest {
            ids: vector_ids.to_vec(),
            include: GET_INCLUDE.iter().map(|s| (*s).to_string()).collect(),
        };

        let url = format!("{}/get", self.collection_url()?);

        let response = self.client.post(&url).json(&request).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to get vectors: {}",
                body
            )));
        }

        let get_response: GetResponse = response.json().await.map_err(|e| {
            NeomemxError::VectorStoreError(format!("Failed to parse get response: {}", e))
        })?;

        let metadatas = get_response.metadatas.unwrap_or_default();

        Ok(get_response
            .ids
            .into_iter()
            .enumerate()
            .map(|(i, id)| OutputData::new(id, None, metadatas.get(i).cloned().unwrap_or_default()))
            .collect())
    }

    async fn list_collections(&self) -> Result<Vec<String>> {
        let url = self.collections_base_url();

        let response = self.client.get(&url).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to list collections: {}",
                body
            )));
        }

        let collections: Vec<CollectionResponse> = response.json().await.map_err(|e| {
            NeomemxError::VectorStoreError(format!("Failed to parse collections response: {}", e))
        })?;

        Ok(collections.into_iter().map(|c| c.name).collect())
    }

    async fn delete_collection(&self) -> Result<()> {
        let url = self.collection_url()?;

        let response = self.client.delete(&url).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to delete collection: {}",
                body
            )));
        }

        warn!("Deleted collection: {}", self.config.collection_name);
        Ok(())
    }

    async fn collection_info(&self) -> Result<serde_json::Value> {
        let url = self.collection_url()?;

        let response = self.client.get(&url).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to get collection info: {}",
                body
            )));
        }

        let info: serde_json::Value = response.json().await.map_err(|e| {
            NeomemxError::VectorStoreError(format!("Failed to parse collection info: {}", e))
        })?;

        Ok(info)
    }

    async fn list(&self, filters: Option<Filters>, limit: usize) -> Result<Vec<OutputData>> {
        let where_clause = filters.as_ref().map(Self::generate_where_clause);

        // ChromaDB get endpoint for listing
        let mut request_body = serde_json::json!({
            "include": ["metadatas"],
            "limit": limit,
        });

        if let Some(where_val) = where_clause.filter(|v| !v.is_null()) {
            request_body["where"] = where_val;
        }

        let url = format!("{}/get", self.collection_url()?);

        let response = self.client.post(&url).json(&request_body).send().await?;

        if !response.status().is_success() {
            let body = response.text().await.unwrap_or_default();
            return Err(NeomemxError::VectorStoreError(format!(
                "Failed to list vectors: {}",
                body
            )));
        }

        let get_response: GetResponse = response.json().await.map_err(|e| {
            NeomemxError::VectorStoreError(format!("Failed to parse list response: {}", e))
        })?;

        let metadatas = get_response.metadatas.unwrap_or_default();

        Ok(get_response
            .ids
            .into_iter()
            .enumerate()
            .map(|(i, id)| OutputData::new(id, None, metadatas.get(i).cloned().unwrap_or_default()))
            .collect())
    }

    async fn reset(&self) -> Result<()> {
        warn!("Resetting collection: {}", self.config.collection_name);

        // Delete the collection
        self.delete_collection().await?;

        // Recreate it
        self.create_collection(&self.config.collection_name).await?;

        Ok(())
    }
}