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chandu81210/ai-chatbot-app

Full-stack AI chatbot with memory and streaming — LangChain + FastAPI + Streamlit

MIT GitHub ↗
★ 0
stars
75
AI relevance
50
solo dev
0
tool sigs

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

DETECTED Detected AI stack

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🧩 AI frameworks (1)
LangChain
🌐 Web frameworks (2)
Streamlit FastAPI

Owner

Account
chandu81210
Type
User
Followers
0

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