chainlit and ai-chatbot-using-Langchain-Pinecone
Chainlit is a frontend framework for deploying conversational AI applications, while the Langchain-Pinecone chatbot is an example implementation showing how to combine Langchain, vector storage, and an LLM into a working chatbot—making them complements that work together in a RAG architecture stack.
About chainlit
Chainlit/chainlit
Build Conversational AI in minutes ⚡️
Provides decorator-based Python abstractions for building multi-step AI workflows with built-in UI rendering, step tracking, and async message handling. Integrates seamlessly with LLM frameworks like LangChain and LlamaIndex, as well as vector databases and model providers including OpenAI and Anthropic. Features a web-based chat interface that automatically visualizes tool calls, intermediate steps, and message flows without requiring frontend code.
About ai-chatbot-using-Langchain-Pinecone
farukalamai/ai-chatbot-using-Langchain-Pinecone
Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit
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