Echoes is an AI Agent platform designed to turn unstructured data—documents, PDFs, websites, and databases—into a conversational agent that answers user queries with contextually relevant responses. Users import files or connect live data sources via integrations, then configure the assistant with custom dialogue flows, templates, and branding. Echoes leverages NLP techniques to index and search content, maintaining up-to-date knowledge through auto-sync. Agents can be deployed on web widgets, Slack, Microsoft Teams, or via API. Analytics track user interactions, popular topics, and performance metrics, enabling continuous optimization. With enterprise-grade security, permission controls, and multilingual support, Echoes scales from small teams to large organizations.

LangChain RAG Agent Chatbot sets up a pipeline that ingests documents, converts them into embeddings with OpenAI models, and stores them in a FAISS vector database. When a user query arrives, the LangChain retrieval chain fetches relevant passages, and the agent executor orchestrates between retrieval and generation tools to produce contextually rich answers. This modular architecture supports custom prompt templates, multiple LLM providers, and configurable vector stores, making it ideal for building knowledge-driven chatbots.