feat: Add chat handler with RAG pipeline

- chat_handler.py: Standalone NATS handler with RAG
- chat_handler_v2.py: Handler-base implementation
- Dockerfiles for both versions

Pipeline: Embeddings → Milvus → Rerank → LLM → (optional TTS)
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# chat-handler
# Chat Handler
Text-based chat pipeline for the DaviesTechLabs AI/ML platform.
## Overview
A NATS-based service that handles chat completion requests with RAG (Retrieval Augmented Generation).
**Pipeline:** Query → Embeddings → Milvus → Rerank → LLM → (optional TTS)
## Versions
| File | Description |
|------|-------------|
| `chat_handler.py` | Standalone implementation (v1) |
| `chat_handler_v2.py` | Uses handler-base library (recommended) |
| `Dockerfile` | Standalone image |
| `Dockerfile.v2` | Handler-base image |
## Architecture
```
NATS (ai.chat.request)
┌───────────────────┐
│ Chat Handler │
└───────────────────┘
├──▶ BGE Embeddings (drizzt)
│ │
│ ▼
├──▶ Milvus Vector Search
│ │
│ ▼
├──▶ BGE Reranker (danilo)
│ │
│ ▼
├──▶ vLLM (khelben)
│ │
│ ▼ (optional)
└──▶ XTTS TTS (elminster)
NATS (ai.chat.response.{id})
```
## NATS Message Format
### Request (ai.chat.request)
```json
{
"request_id": "uuid",
"query": "What is the capital of France?",
"collection": "knowledge_base",
"enable_tts": false,
"system_prompt": "Optional custom system prompt"
}
```
### Response (ai.chat.response.{request_id})
```json
{
"request_id": "uuid",
"response": "The capital of France is Paris.",
"sources": [
{"text": "Paris is the capital...", "score": 0.95}
],
"audio": "base64-encoded-audio (if TTS enabled)"
}
```
## Configuration
| Environment Variable | Default | Description |
|---------------------|---------|-------------|
| `NATS_URL` | `nats://nats.ai-ml.svc.cluster.local:4222` | NATS server |
| `EMBEDDINGS_URL` | `http://embeddings-predictor.ai-ml.svc.cluster.local` | Embeddings |
| `RERANKER_URL` | `http://reranker-predictor.ai-ml.svc.cluster.local` | Reranker |
| `VLLM_URL` | `http://llm-draft.ai-ml.svc.cluster.local:8000` | LLM service |
| `TTS_URL` | `http://tts-predictor.ai-ml.svc.cluster.local` | TTS (optional) |
| `MILVUS_HOST` | `milvus.ai-ml.svc.cluster.local` | Vector DB |
| `COLLECTION_NAME` | `knowledge_base` | Default Milvus collection |
| `ENABLE_TTS` | `false` | Enable audio responses |
## Building
```bash
# Standalone image (v1)
docker build -f Dockerfile -t chat-handler:latest .
# Handler-base image (v2 - recommended)
docker build -f Dockerfile.v2 -t chat-handler:v2 .
```
## Dependencies
The v2 handler depends on [handler-base](https://git.daviestechlabs.io/daviestechlabs/handler-base):
```bash
pip install git+https://git.daviestechlabs.io/daviestechlabs/handler-base.git
```
## Related
- [handler-base](https://git.daviestechlabs.io/daviestechlabs/handler-base) - Base handler library
- [voice-assistant](https://git.daviestechlabs.io/daviestechlabs/voice-assistant) - Voice pipeline
- [homelab-design](https://git.daviestechlabs.io/daviestechlabs/homelab-design) - Architecture docs