v1.4 - Integrated Guardrails

• Successfully working overall architecture of Automated Agent Routing with LangGraph.
• Successfully working Conversation Agent fine-tuned for medical domain.
• Successfully working RAG agent.
• Successfully working Web Search agent.
• Successfully working routing from RAG to Web Search based on Retrieval Confidence score (if low).
• Successfully working routing to appropriate Medical Computer Vision agent based on Classification of uploaded image (brain MRI / chest X-ray / skin lesion).
• Successfully storing conversation history till specified length.
• Successfully working backend and frontend.
• Added ingest_rag_data.py to manually ingest new data for information retrieval.
• Currently document parsing implemented with PyPDF2, later will provide option of unstructured.io as well (needs tesseract and poppler -installation at system level).
• Successfully working Medical Computer Vision model agents - Chest X-ray Covid-19 classification, and Skin Lesion Segmentation.
• Successfully integrated ElevenLabs API to enable speech-to-text and text-to-speech services in conversation.
• Successfully integrated Input and Output Guardrails.

What's Changed

• Audio button spaced, LLM chat history summarizer for web search query by @souvikmajumder26 in #29
• Updated README & requirements by @souvikmajumder26 in #31
• Integrated Input and Output Guardrails by @souvikmajumder26 in #32

Full Changelog: v1.3...v1.4