Skip to content

ericvaillancourt/LangChain_persistant_multi_vector

View on GitHub ↗Related repositories →

This repository showcases how to transition from InMemoryByteStore to PostgreSQL for persistent storage of multi-vectors in LangChain RAG models. It includes detailed examples and documentation for setting up and using PostgreSQL, enhancing data management and model reliability.

active 2024-05-13 → 2025-03-18 (UTC)

Complete coverage27,977 / 27,977 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-23 (UTC)
Events
33
Pushes
19
Pull requests
0
Issues
0
Stars
9
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 310 days from 2024-05-13 to 2025-03-18. Pushes: 19 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 9 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ericvaillancourt191900

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 9 stars here means stars gained during the window, not the repo's star count.