Context Agent
Context Agent Demo

Context Agent

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ContextAgent is a modular AI assistant backend built with Python, LangChain, and RAG. It ingests documents, retrieves context, and delivers intelligent, multi-step responses via API. Designed for developers and teams, it’s production-ready and easy to integrate with any frontend.

Template Details

ContextAgent is a modular AI assistant backend built with Python, LangChain, and RAG. It ingests documents, retrieves context, and delivers intelligent, multi-step responses via API. Designed for developers and teams, it’s production-ready and easy to integrate with any frontend.

Features

RAG pipeline for context-aware responses
LangChain agent with multi-tool reasoning
Conversational memory support
Document ingestion: PDF, TXT, Markdown
Embeddings via OpenAI or Hugging Face
Vector store integration (Chroma or FAISS)
API key management via .env
Swagger or ReDoc documentation
Modular architecture for easy extension

Technologies Used

Python 3.10+ FastAPI LangChain OpenAI API Chroma or FAISS PyPDF2 docx unstructured pydantic python-dotenv

Requirements

Python 3.10 or higher
OpenAI API key or Hugging Face token
FastAPI-compatible environment
Internet connection for API calls
Optional: Chroma or FAISS installed for vector storage

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