chandu81210/ai-chatbot-app
Full-stack AI chatbot with memory and streaming — LangChain + FastAPI + Streamlit
SUMMARY AI summary by gpt-5-mini
A full‑stack reference implementation of an AI chatbot that demonstrates conversational memory and streaming responses using LangChain (LLM orchestration), FastAPI (backend & streaming endpoints) and Streamlit (frontend). It’s intended for developers and researchers who want a working template to prototype conversational agents, retrieval-augmented QA, or integrate LLMs into apps. Key features: - Conversational memory (session history / state) - Token-level streaming from backend to UI for lower latency - LangChain-based pipelines for chaining LLM calls and retrieval - Document ingestion / retrieval via embeddings + vector store - Configurable LLM providers and deployment via Docker/Dev setup - Example frontend UI and API endpoints to customize and extend
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Owner
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:18 |