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Create, Customize, and Deploy AI Assistants Powered by Your Data
- Profile Builder: Create structured JSON profiles through an intuitive UI
- Knowledge Engine: Automatic FAISS vector store generation
- One-Click Deployment: Push to GitHub with Streamlit-ready templates
- Multi-Model Support: Choose from leading LLMs (Llama3, Mixtral, etc.)
graph TD
A[User Profile] --> B(JSON Creation)
B --> C{FAISS Index}
C --> D[Chat Interface]
D --> E((Deployment))
E -->|GitHub| F[Streamlit Cloud]
E -->|Local| G[Local Server]
- Create Profile: Build a detailed profile through an interactive form
- Generate Knowledge: Convert profile data into searchable vectors
- Verify Chat: Preview how the chatbot responds
- Deploy: Push to GitHub or host locally
- Python 3.8+
- HuggingFace Account
- GroqCloud API Key
| Component | Description | Tech Used |
|---|---|---|
| Profile Builder | Interactive data collection | Streamlit, Pydantic |
| FAISS Engine | Vector store generation | HuggingFace, LangChain |
| Chat Interface | AI conversation handler | Groq, LlamaIndex |
| Deployment | Cloud integration | GitHub API, Streamlit |
Vanshaj Raghuvanshi
Contributions are welcome at ChatSynth, open a pull request or issue to get started.
Distributed under the BSD-3.0 License.
See LICENSE for full terms.
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- ⭐ Star this repository
- 👆 Follow VanshajR on GitHub
- 🐛 Report bugs/feature requests via Issues
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Made with ❤️ by Vanshaj Raghuvanshi