arc53/DocsGPT

Using Oracle Vector store

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#981 opened on Jun 5, 2024

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 (16 comments) (0 reactions) (2 assignees)Python (13,691 stars) (1,359 forks)batch import
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Description

Discussed in https://github.com/arc53/DocsGPT/discussions/980

Can be added by creating a file here https://github.com/arc53/DocsGPT/tree/main/application/vectorstore

Will require concrete class similar to others.

Also looks like langchain supports it, which will make integration extra easy. https://python.langchain.com/v0.2/docs/integrations/vectorstores/oracle/#load-documents

Contributor guide

Tech stack
python
Domain
databaseapi
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
PythonLangChainVector store patterns
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
Review the discussion in #980 and existing vector store implementations in application/vectorstore, e.g., Weaviate. LangChain's Oracle integration (https://python.langchain.com/v0.2/docs/integrations/vectorstores/oracle/) provides a reference. The issue has two assignees, so check their progress or consider a different unassigned issue.