Alternatives and similar repositories for LLMSearchRecommender

Users that are interested in LLMSearchRecommender are comparing it to the libraries listed below

• treygrainger / ai-powered-search
  The codebase for the book "AI-Powered Search" (Manning Publications, 2025)
  ☆349Updated this week
• alopatenko / LLMEvaluation
  A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various use…
  ☆155Updated this week
• wayfair / WANDS
  ☆108Updated 2 weeks ago
• BBischof / ESRecsys
  Effective and Scalable Recommendation Systems
  ☆60Updated last year
• shuttie / esci-s
  Extra product metadata for the Amazon ESCI dataset
  ☆50Updated 2 years ago
• PrithivirajDamodaran / SPLADERunner
  Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by…
  ☆33Updated last year
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆114Updated 6 months ago
• PrithivirajDamodaran / Route0x
  Low latency, High Accuracy, Custom Query routers for Humans and Agents. Built by Prithivi Da
  ☆117Updated 8 months ago
• januverma / transformers-stuff
  Codes, scripts, and notebooks on various aspects of transformer models.
  ☆27Updated 2 years ago
• gauravchak / user_preference_modeling
  Multiple ways to model user preference in recommender systems
  ☆17Updated last year
• redis-developer / redis-nvidia-recsys
  Three examples of recommendation system pipelines with NVIDIA Merlin and Redis
  ☆67Updated 7 months ago
• anyscale / ray-summit-2023-training
  ☆89Updated 2 years ago
• qdrant / workshop-ultimate-hybrid-search
  Materials for the Ultimate Hybrid Search Workshop
  ☆43Updated 11 months ago
• gauravchak / two_tower_models
  We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval mor…
  ☆97Updated 9 months ago
• rragundez / chunkdot
  Multi-threaded matrix multiplication and cosine similarity calculations for dense and sparse matrices. Appropriate for calculating the K …
  ☆83Updated 11 months ago
• marqo-ai / fine-tuning-embedding-models-course
  Marqo's Course on 'Fine-Tuning Embedding Models for Semantic Search'.
  ☆52Updated last year
• softwaredoug / local-llm-judge
  Local LLM as a search relevance judge
  ☆27Updated 9 months ago
• castorini / umbrela
  ☆53Updated 4 months ago
• gsingers / search_with_machine_learning_course
  Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://coris…
  ☆57Updated 2 years ago
• jina-ai / correlations
  Simple UI for debugging correlations of text embeddings
  ☆302Updated 6 months ago
• Knowledgator / GLiClass
  Generalist and Lightweight Model for Text Classification
  ☆165Updated last week
• alvarobartt / vertex-ai-huggingface
  🤗 Collection of examples on how to train, deploy and monitor HuggingFace models in Google Cloud Vertex AI
  ☆21Updated last year
• eugeneyan / align-app
  ☆84Updated last year
• apple / ml-superposition-prompting
  ☆146Updated last year
• eugeneyan / llm-paper-notes
  Notes from the Latent Space paper club. Follow along or start your own!
  ☆241Updated last year
• jlscheerer / xtr-warp
  XTR/WARP (SIGIR'25) is an extremely fast and accurate retrieval engine based on Stanford's ColBERTv2/PLAID and Google DeepMind's XTR.
  ☆173Updated 7 months ago
• outerbounds / hacker-news-sentiment
  Metaflow flows for analyzing topics and sentiments in Hacker News
  ☆22Updated last year
• lakshmanok / generative-ai-design-patterns
  A catalog of design patterns when building generative AI applications
  ☆236Updated last week
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆145Updated last year
• tonywu71 / colpali-cookbooks
  Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳
  ☆343Updated 6 months ago