---

# 🧠 CodeRecall

> Context-aware local AI assistant for developers using Ollama, LanceDB, and VS Code’s Continue extension.

CodeRecall ingests your entire codebase — including Git history and diffs — into a local vector database (LanceDB), enabling RAG-augmented queries via Ollama models right inside VS Code.

No cloud APIs. No latency. Full control.

---

## 🚀 Features

- 🔍 **Semantic code search** across multiple languages
- 📜 **Git commit + diff embedding** for code evolution awareness
- 🤖 **RAG integration** with local Ollama models (e.g. LLaMA 3)
- 💻 **VS Code Continue extension support**
- ⚙️ Configurable with a simple `config.ini`

---

## 🧩 Project Structure

```
CodeRecall/
├── lancedb_ingest.py           # Ingest codebase + Git into LanceDB
├── lancedb_context_provider.py # VS Code Continue context provider
├── config.ini.example          # Ollama + LanceDB settings
├── lancedb-data/               # LanceDB persistence directory
└── config.yaml.example         # Continue extension config
```

---

## 🔧 Setup

### 1. Install dependencies

```bash
pip install lancedb
```

Make sure you have:
- 🦙 [Ollama](https://ollama.com/) installed and running
- ✅ [Continue Extension](https://marketplace.visualstudio.com/items?itemName=Continue.continue) for VS Code
- 🐙 Git repo initialized (optional but recommended)

### 2. Configure `config.ini`

```ini
[[ollama]
url = http://localhost:11434

[lancedb]
persist_directory = ./lancedb-data

[s3]
enable = True
bucket_name = my-s3-bucket 
access_key_id = my-access-key
secret_access_key = my-secret-key
region = us-east-1
# Optional, if using third party s3 providers
endpoint = http://minio:9000 

[server]
host = 0.0.0.0
port = 8080
```

---

## 📥 Ingest your project

```bash
python lancedb_ingest.py
```

This loads:
- Source code in common languages
- Markdown and text docs
- Git commit messages and full diffs

---

## 🧠 Add as a VS Code Context Provider

### `config.yaml` for Continue

```yaml
name: Local Assistant
version: 1.0.0
schema: v1
models: 
  - name: Ollama Autodetect
    provider: ollama
    model: AUTODETECT
    apiBase: http://localhost:11434
  - name: Ollama Autocomplete
    provider: ollama
    model: qwen2.5-coder:1.5b-base
    apiBase: http://localhost:11434
        roles:
      - autocomplete
  - name: Nomic Embed Text
    provider: ollama
    model: nomic-embed-text
    apiBase: http://localhost:11434
    roles:
      - embed
context:
  - provider: code
  - provider: docs
  - provider: diff
  - provider: terminal
  - provider: problems
  - provider: folder
  - provider: codebase
  # LanceDB Context Provider
  - provider: http
    params:
      url: http://localhost/retrieve
```

---

## ✨ Usage

1. Launch VS Code.
2. Open the Continue sidebar.
3. Set `"@HTTP"` as your context provider.
4. Ask your model questions about your codebase, architecture, or commits.

Example prompt:
> _“How does the Git ingestion pipeline work?”_

---

## 📌 Notes

- Default embedding model is `nomic-embed-text` (via Ollama).
- Change `n_results` in `lancedb_context_provider.py` for broader/narrower context.
- Works offline, no API keys required.

---

## 🧪 Roadmap Ideas

- [ ] Add OpenAPI spec ingestion
- [ ] Enable full-text search fallback
- [ ] Support for multi-repo ingestion
- [ ] Optional chunking for large diffs or files

---

## 🛡 License

Creative Commons Attribution-NonCommercial 4.0 International license.