GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
in-context-ralm is a Python-based tool for reproducing experiments on WikiText-103 from AI21 Labs' paper on In-Context Retrieval-Augmented Language Models, leveraging Transformers and Pyserini libraries.
Good fit when
- Use in-context-ralm when you need to reproduce experiments on WikiText-103 as detailed in AI21 Labs' paper.
- Use it if you are working with retrieval-augmented language models and require integration with the Transformers and Pyserini libraries.
Avoid when
- Do not use in-context-ralm if your project does not involve the WikiText-103 dataset or the specific language models tested in the AI21 Labs paper.
- Avoid using this tool if you do not require the specific setup involving Pyserini for BM25 retrieval, as it necessitates Java 11 and setting the JAVA_HOME environment variable.
- Requirements:
- Min 8 GB RAM; Ensure Python 3.8 is installed.; Java 11 is required for BM25 preparation with Pyserini.; CUDA-specific Pytorch installation is recommended for optimal performance.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (1003d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- 82 low (82 low)
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install in-context-ralmSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Repository for reproducing experiments on WikiText-103 from AI21 Labs' paper on In-Context RALM, using Transformers and Pyserini libraries.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
We test it on Python 3.8.Source link
Tags
README
In Context Retrieval Augmented Language Models This repo contains the code for reproducing the experiments on WikiText 103 from AI21 Labs' paper In Context Retrieval Augmented Language Models (In Context RALM), to appear in the Transactions of the Association for Computational Li...
For agents
This page has a .md twin and JSON over the API.