We have hosted the application chatgpt retrieval plugin in order to run this application in our online workstations with Wine or directly.


Quick description about chatgpt retrieval plugin:

The chatgpt-retrieval-plugin repository implements a semantic retrieval backend that lets ChatGPT (or GPT-powered tools) access private or organizational documents in natural language by combining vector search, embedding models, and plugin infrastructure. It can serve as a custom GPT plugin or function-calling backend so that a chat session can “look up” relevant documents based on user queries, inject those results into context, and respond more knowledgeably about a private knowledge base. The repo provides code for ingestion pipelines (embedding documents), APIs for querying, local server components, and privacy / PII detection modules. It also contains plugin manifest files (OpenAPI spec, plugin JSON) so that the retrieval backend can be registered in a plugin ecosystem. Because retrieval is often needed to make LLMs “know what’s in your docs” without leaking everything, this plugin aims to be a secure, flexible building block for retrieval-augmented generation (RAG) systems.

Features:
  • Document ingestion and embedding pipeline for private data
  • Semantic search / vector retrieval API for queries
  • Local server and plugin startup scripts for ease of deployment
  • PII detection and redaction modules to mask sensitive content
  • Plugin manifest (OpenAPI, JSON) for ChatGPT plugin registration
  • Example integration with chat completions and function-calling systems


Programming Language: Python.
Categories:
AI Models

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