IntelLabs / fastRAGLinks
Efficient Retrieval Augmentation and Generation Framework
☆1,650Updated 7 months ago
Alternatives and similar repositories for fastRAG
Users that are interested in fastRAG are comparing it to the libraries listed below
Sorting:
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,523Updated 3 months ago
- The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval☆1,373Updated 11 months ago
- Automated Evaluation of RAG Systems☆644Updated 5 months ago
- A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.☆788Updated last month
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆2,182Updated last year
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,863Updated this week
- ☆890Updated 10 months ago
- Enforce the output format (JSON Schema, Regex etc) of a language model☆1,876Updated this week
- [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings☆2,001Updated 7 months ago
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy☆1,291Updated 2 months ago
- Superfast AI decision making and intelligent processing of multi-modal data.☆2,743Updated 2 weeks ago
- Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cro…☆851Updated last month
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,647Updated 3 months ago
- Open-source tool to visualise your RAG 🔮☆1,150Updated 7 months ago
- Fine-Tuning Embedding for RAG with Synthetic Data☆509Updated last year
- 🦙 Integrating LLMs into structured NLP pipelines☆1,301Updated 7 months ago
- Evaluate your LLM's response with Prometheus and GPT4 💯☆981Updated 4 months ago
- A comprehensive guide to building RAG-based LLM applications for production.☆1,818Updated last year
- MTEB: Massive Text Embedding Benchmark☆2,785Updated this week
- Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali☆2,390Updated last week
- ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)☆3,561Updated 2 weeks ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆1,993Updated last year
- Developer APIs to Accelerate LLM Projects☆1,711Updated 10 months ago
- Automatically evaluate your LLMs in Google Colab☆656Updated last year
- RAGChecker: A Fine-grained Framework For Diagnosing RAG☆967Updated 8 months ago
- Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024☆2,271Updated last week
- Fast, Accurate, Lightweight Python library to make State of the Art Embedding☆2,317Updated last week
- A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.☆1,927Updated 2 months ago
- Code for explaining and evaluating late chunking (chunked pooling)☆443Updated 8 months ago
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤☆1,050Updated 6 months ago