RobotecAI/rai

Store information about vector database embedding model

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#272 opened on Oct 11, 2024

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 (2 comments) (0 reactions) (1 assignee)Python (73 forks)auto 404
enhancementhelp wantedllmpriority/major

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Description

Is your feature request related to a problem? Please describe. Currently, the whoami packages are created using openai's embedding models. Using those with other vendors is impossible.

Describe the solution you'd like Internal tools used for rag should make sure that the model is compatible with the vdatabase.

Describe alternatives you've considered Creating a log file with information about the generation (vendor, models etc)

Additional context Add any other context or screenshots about the feature request here.

Contributor guide

Research direction
Investigate how to store metadata about embedding models used during vector database indexing, possibly in a configuration file or database schema, to ensure compatibility during retrieval.
Tech stack
python
Domain
backendai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
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.
Clear
Prerequisites
PythonVector databasesEmbedding models
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65