[PR #330] [MERGED] feat: Add Contextual AI RAG agent #6049

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GiteaMirror · 2026-05-27T22:43:13-05:00

GiteaMirror commented

2026-05-27 22:43:13 -05:00

📋 Pull Request Information

Original PR: https://github.com/Shubhamsaboo/awesome-llm-apps/pull/330
Author: @Jinash-Rouniyar
Created: 9/5/2025
Status: ✅ Merged
Merged: 9/7/2025
Merged by: @Shubhamsaboo

Base: main ← Head: main

📝 Commits (1)

84fe9fb feat: Add Contextual AI RAG agent

📊 Changes

4 files changed (+395 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)
➕ rag_tutorials/contextualai_rag_agent/README.md (+62 -0)
➕ rag_tutorials/contextualai_rag_agent/contextualai_rag_agent.py (+328 -0)
➕ rag_tutorials/contextualai_rag_agent/requirements.txt (+4 -0)

📄 Description

This PR showcases capabilities of Contextual AI's managed RAG platform. Create a datastore, ingest documents, spin up an agent, and chat grounded on your data.

Features:

Document ingestion to Contextual AI datastores
Agent creation bound to one or more datastores
Response generation via Contextual’s Grounded Language Model (GLM) for faithful, retrieval-grounded answers
Reranking of retrieved documents by query relevance and custom instructions (multilingual)
Retrieval visualization (show attribution page image and metadata)
LMUnit evaluation of answers using a custom rubric

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/Shubhamsaboo/awesome-llm-apps/pull/330 **Author:** [@Jinash-Rouniyar](https://github.com/Jinash-Rouniyar) **Created:** 9/5/2025 **Status:** ✅ Merged **Merged:** 9/7/2025 **Merged by:** [@Shubhamsaboo](https://github.com/Shubhamsaboo) **Base:** `main` ← **Head:** `main` --- ### 📝 Commits (1) - [`84fe9fb`](https://github.com/Shubhamsaboo/awesome-llm-apps/commit/84fe9fbe1a8d4d3e4f7d05ba89855f697c945dcd) feat: Add Contextual AI RAG agent ### 📊 Changes **4 files changed** (+395 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) ➕ `rag_tutorials/contextualai_rag_agent/README.md` (+62 -0) ➕ `rag_tutorials/contextualai_rag_agent/contextualai_rag_agent.py` (+328 -0) ➕ `rag_tutorials/contextualai_rag_agent/requirements.txt` (+4 -0) </details> ### 📄 Description This PR showcases capabilities of Contextual AI's managed RAG platform. Create a datastore, ingest documents, spin up an agent, and chat grounded on your data. Features: - Document ingestion to Contextual AI datastores - Agent creation bound to one or more datastores - Response generation via Contextual’s Grounded Language Model (GLM) for faithful, retrieval-grounded answers - Reranking of retrieved documents by query relevance and custom instructions (multilingual) - Retrieval visualization (show attribution page image and metadata) - LMUnit evaluation of answers using a custom rubric --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-05-27 22:43:14 -05:00

GiteaMirror closed this issue

2026-05-27 22:43:18 -05:00

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Reference: github-starred/awesome-llm-apps#6049