ares-server 0.7.5

A.R.E.S - Agentic Retrieval Enhanced Server: A production-grade agentic chatbot server with multi-provider LLM support, tool calling, RAG, and MCP integration
Documentation
//! Pinecone vector database integration.
//!
//! This module provides integration with Pinecone, a managed cloud vector database.
//!
//! # Status
//!
//! **Not yet implemented.** This is a placeholder for future development.
//!
//! # Feature Flag
//!
//! Enable with `--features pinecone`
//!
//! # Future Implementation
//!
//! When implemented, this will support:
//! - Creating and managing Pinecone indexes
//! - Upsert operations with metadata
//! - Similarity search with filtering
//! - Namespace support for multi-tenant applications
//!
//! # Example (future API)
//!
//! ```rust,ignore
//! use ares::db::PineconeStore;
//!
//! let store = PineconeStore::new("your-api-key", "us-west1-gcp").await?;
//! store.create_index("documents", 384).await?;
//! store.upsert("documents", &embedding, &metadata).await?;
//! let results = store.search("documents", &query_embedding, 10).await?;
//! ```

use crate::types::{AppError, Result};

/// Pinecone vector store (not yet implemented).
///
/// This struct will provide integration with Pinecone's managed
/// vector database service.
pub struct PineconeStore {
    _private: (),
}

impl PineconeStore {
    /// Create a new PineconeStore.
    ///
    /// # Errors
    ///
    /// Currently always returns an error as this feature is not yet implemented.
    pub async fn new(_api_key: &str, _environment: &str) -> Result<Self> {
        Err(AppError::Configuration(
            "PineconeStore is not yet implemented. Use 'ares-vector' (default) or 'qdrant' instead. \
             See https://github.com/dirmacs/ares for implementation status.".to_string()
        ))
    }
}