zakirkun/rag-chat-bot
A Retrieval-Augmented Generation (RAG) Chat Bot that provides accurate responses based on available documents. This application uses PostgreSQL with pgvector extension for storing and searching vector embeddings, and OpenAI for generating embeddings and responses.
This tool helps you build a custom chatbot that can answer questions accurately based on your specific documents and information. You feed it your documents, and it provides precise answers to user queries, remembering past conversations. It's ideal for developers who need to integrate an intelligent Q&A system into their applications or services.
Use this if you need to create a chat bot that can reliably answer questions drawing only from a specific set of documents you provide, maintaining context across interactions.
Not ideal if you're looking for an off-the-shelf chatbot solution without needing to configure and manage backend infrastructure or integrate it into another application.
Stars
15
Forks
4
Language
Go
License
MIT
Category
Last pushed
Nov 20, 2025
Commits (30d)
0
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