Add a RAG based chatbot that helps with ingesting

[HXMAN76]

Proposal: Integration of a Retrieval-Augmented Generation (RAG) Chatbot

Overview

This proposal outlines the integration of a Retrieval-Augmented Generation (RAG) chatbot into the cyclotruc-gitingest repository. The RAG-based chatbot will enhance the repository by providing intelligent query handling and contextual responses derived from ingested GitHub repositories.

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Problem Statement

Currently, the project processes and ingests GitHub repositories efficiently but lacks an interactive and intuitive system for querying ingested data. Users must rely on manual query processes via existing APIs or CLI commands. This limits the usability and accessibility of the tool, especially for non-technical users.

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Proposed Solution

Integrate a RAG-based chatbot that leverages the ingested repository data to:

1. Retrieve Contextual Data: Utilize vector embeddings to fetch relevant content from ingested repositories.
2. Generate Informative Responses: Combine retrieved information with a pre-trained language model (e.g., GPT) to produce coherent and contextual answers.
3. Provide Seamless Interaction: Enable interaction via:
   • Web Interface: Use existing Jinja templates (index.jinja, github.jinja) to create a chatbot interface.
   • API Endpoints: Define new endpoints in routers/ for chatbot communication.

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Technical Implementation

1. Backend Changes

• Vector Database: Add support for a vector database (e.g., FAISS, Pinecone) to store and query embeddings of ingested data.
• New Modules:
  • gitingest/embedding.py: Handle vectorization of repository content.
  • gitingest/rag_chatbot.py: Manage retrieval and generation logic.
• API Integration:
  • Add routes in routers/ to handle chatbot requests and responses.

2. Frontend Updates

• Chat Interface:
  • Update github.jinja or index.jinja to include a chatbot UI.
  • Use a WebSocket or REST API for real-time responses.
• Static Assets:
  • Add new JavaScript utilities to static/js/utils.js for chatbot interaction.

3. Dependencies

Add libraries such as:

• sentence-transformers or openai for embeddings.
• langchain for retrieval-augmented generation pipelines.
• faiss-cpu or pinecone for vector search.

4. Testing

Include test cases in gitingest/tests/ to validate:

• Embedding generation and storage.
• Retrieval accuracy and response quality.
• API endpoint functionality.

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Benefits

• Enhanced Usability: Allows users to query and explore repository data conversationally.
• Improved Accessibility: Makes the tool approachable for non-technical users.
• Scalability: Lays the foundation for future AI-driven features.

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Next Steps

If approved, I can begin drafting a detailed plan for implementation and provide a timeline for each milestone. I will also submit a pull request for initial integration tasks.

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How to Support

Please share your feedback on this proposal by commenting on this issue. Suggestions for additional features or improvements are welcome!

[cyclotruc]

Very good Issue, thank you for taking the time to write this

I think we should definitly pursue this idea but go there step by step

I will open a new branch on this repo to host this dev work while still being able to update main

Before typing any code:
I think it would be wise to discuss the features that we aim for and establish a clear vision of the steps to get there
Maybe the first step should be a simple OpenAI/Anthropic api integration
Before moving on to more refined degrees of interaction

Anyway, I will glaadly help you build this feature into Gitingest,
Feel free to reach out so we can discuss this further (I prefer discord but I also sent you a Linkedin invite)

[HXMAN76]

@cyclotruc I couldn't find your Discord username. I am new to the whole open-source contribution thing, but your product idea is pretty good. It could use AI integrations to improve the interaction. Also, just calling ChatGPT API won't be effective, whereas creating an RAG model with ingested content + LLM will make this more flexible and accurate.

Note: I am new to this but would love to learn and contribute to this project.

[poltronSuperstar]

Hi @HXMAN76 .

I'm working on pretty much exactly that.
Could you think of specific user stories (ie: What you would ask such a RAG Chat bot ?)

[cyclotruc]

Closing this to clean up
For now gitingest will remain llm-free until it becomes hard to improve using classical programming

@HXMAN76 you can find me on discord @yasbaltrine