| deepset-ai/haystack |
12,474 |
|
0 |
30 |
about 2 years ago |
100 |
November 09, 2023 |
346 |
apache-2.0 |
Python |
| :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots. |
| laura-dietz/tutorial-utilizing-kg |
148 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
TeX |
| Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval" |
| laura-dietz/tutorial-kb4ir |
21 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
|
| Resources for the Tutorial on "Utilizing Knowledge Bases in Text-centric Information Retrieval" |
| digicatapult/fornax |
16 |
|
0 |
0 |
about 5 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| Approximate fuzzy subgraph matching in polynomial time |
| brianckeegan/JupyterDays2016 |
9 |
|
0 |
0 |
about 10 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Tutorial for Jupyter Days 2016 on information retrieval from Wikipedia API and network analysis |
| kmcdono2/ecir_textspace |
8 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
TeX |
| Information and materials for the 2020 ECIR tutorial Text Meets Space: Geographic Content Extraction, Resolution, and Information Retrieval |
