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https://github.com/deepset-ai/rasa-haystack

https://github.com/deepset-ai/rasa-haystack

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.8%) to scientific vocabulary

Keywords from Contributors

agent transformers language-model text-generation haystack generative-qa summarization semantic-search retrieval-augmented-generation rag
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: deepset-ai
  • Language: Python
  • Default Branch: main
  • Size: 46.7 MB
Statistics
  • Stars: 47
  • Watchers: 3
  • Forks: 15
  • Open Issues: 1
  • Releases: 0
Created over 4 years ago · Last pushed about 3 years ago
Metadata Files
Readme

README.md

Rasa Haystack Demo

This repo is a bare-bones chat bot project using Rasa in combination with Haystack. While Rasa is used for the whole flow of the dialogue and intent management, Haystack is used to answer the long tail of "knowledge queries" that can be answered by searching an answer in a document corpus. This example repo sketches how to use the fallback intent or an dedicated knowledge base intent to offload such queries to haystack.

After initializing a plain rasa project (rasa init) changes were made to - domain.yml - config.yml - data/nlu.yml - data/rules.yml - actions/actions.py

More details can be found at this page!

Get Started

  • Install Rasa
  • Start the Haystack REST API and a demo DocumentStore via Docker: git clone https://github.com/deepset-ai/haystack.git cd haystack docker-compose pull docker-compose up If you don't use Docker, you can also install Haystack and start the Haystack REST API service
  • Train a model in this repository with rasa train
  • Call rasa shell to start interacting with the chatbot (alternatively, you can use Rasa X and interact with the bot via a developer GUI)

Our trained model is included in the models directory.

Owner

  • Name: deepset
  • Login: deepset-ai
  • Kind: organization
  • Email: hello@deepset.ai
  • Location: Berlin, Germany

Building enterprise search systems powered by latest NLP & open-source.

GitHub Events

Total
  • Watch event: 1
  • Fork event: 1
Last Year
  • Watch event: 1
  • Fork event: 1

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 8
  • Total Committers: 3
  • Avg Commits per committer: 2.667
  • Development Distribution Score (DDS): 0.5
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
oryx1729 7****9 4
Malte Pietsch m****h@d****i 3
Branden Chan 3****n 1
Committer Domains (Top 20 + Academic)
deepset.ai: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 0
  • Total pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 month
  • Total issue authors: 0
  • Total pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • brandenchan (1)
  • koaning (1)
  • rgstephens (1)
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