arc53/DocsGPT

Feature: Add graph retriever

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#1.015 aberto em 27 de jun. de 2024

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 (5 comments) (0 reactions) (1 assignee)Python (13.691 stars) (1.359 forks)batch import
applicationbackendhelp wantedpython

Description

I think we can make upload / training process more advanced, maybe let users choose some "advanced" options on upload in the UI.

This way we can for example prepare data for graph + vector database. And when user creates a query it will automatically figure out where which retriever type needs to be used for that source. So I guess its a two part issue:

  • Edit structure of source docs in general (clean up a bit, and add retriever type field)

  • Add new graph retriever, add graph ingest, add UI to choose ingestion method maybe

Guia do colaborador

Pilha de tecnologia
pythonreactjavascript
Domain
full stackai
Tipo Issue
feature
DifficultyDificuldade de implementação estimada para um novo contribuidor, de 1 para alterações muito pequenas a 5 para trabalho de nível especializado.
4
Tempo estimadoUm intervalo de tempo aproximado para um colaborador experiente investigar, implementar, testar e preparar um pull request.
1-2 days
Status da atividadeQuão disponível o issue aparece agora: novo, ativo, obsoleto, bloqueado ou aguardando entrada do mantenedor.
blocked
ClarityCom que clareza o issue explica a mudança esperada, os critérios de aceitação e a próxima etapa.
mostly clear
Prerequisites
PythonReactGraph databasesVector databases
Simpatia para novatosUma pontuação de 1 a 100 que estima o quão acessível este issue é para colaboradores iniciantes.
20
Direção de pesquisa
The issue proposes adding a graph retriever and advanced upload options. The existing codebase uses Python for backend and likely React for frontend. The contributor should examine the current document upload and retrieval flow in the 'api' and 'frontend' directories. There is an assignee, so coordinate with them first. Look into graph database integration (e.g., Neo4j) and how to extend the existing retriever classes. The UI changes involve adding a dropdown for ingestion method. Implementation should start with the backend changes to source document structure.