kevaldekivadiya2415 / textembedLinks
TextEmbed is a REST API crafted for high-throughput and low-latency embedding inference. It accommodates a wide variety of embedding models and frameworks, making it ideal for various natural language processing applications.
☆27Updated last year
Alternatives and similar repositories for textembed
Users that are interested in textembed are comparing it to the libraries listed below
Sorting:
- Deployment a light and full OpenAI API for production with vLLM to support /v1/embeddings with all embeddings models.☆44Updated last year
- Open Source Text Embedding Models with OpenAI Compatible API☆164Updated last year
- Submodular optimization for context engineering: query fan-out, text selection, passage reranking☆77Updated 5 months ago
- A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.☆58Updated 8 months ago
- Repository for “PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers”, NAACL24☆152Updated last year
- An enterprise-grade AI retriever designed to streamline AI integration into your applications, ensuring cutting-edge accuracy.☆292Updated 6 months ago
- This is an NVIDIA AI Workbench example project that demonstrates an end-to-end model development workflow using Llamafactory.☆71Updated last year
- Official repository for RAGViz: Diagnose and Visualize Retrieval-Augmented Generation [EMNLP 2024]☆88Updated 11 months ago
- ☆62Updated last year
- This code sets up a simple yet robust server using FastAPI for handling asynchronous requests for embedding generation and reranking task…☆72Updated last year
- Code for KaLM-Embedding models☆104Updated 5 months ago
- Evaluation of bm42 sparse indexing algorithm☆72Updated last year
- Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".☆242Updated last year
- Evaluation tools for Retrieval-augmented Generation (RAG) methods.☆167Updated last year
- Query Expension for Better Query Embedding using LLMs☆63Updated 10 months ago
- Fine-Tuning LLM and embedding models☆28Updated 2 years ago
- Lighter, cheaper and faster RAG toolkit (Graph RAG) supported by TargetPilot☆46Updated 6 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆132Updated last year
- ☆101Updated last year
- Evaluation for AI apps and agent☆43Updated last year
- This repository presents the original implementation of LumberChunker: Long-Form Narrative Document Segmentation by André V. Duarte, João…☆85Updated last year
- Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers☆81Updated 7 months ago
- Benchmark various LLM Structured Output frameworks: Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, etc on task…☆181Updated last year
- vLLM Router☆54Updated last year
- ☆66Updated last year
- Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.☆78Updated last year
- A simple service that integrates vLLM with Ray Serve for fast and scalable LLM serving.☆78Updated last year
- Ready-to-go containerized RAG service. Implemented with text-embedding-inference + Qdrant/LanceDB.☆73Updated last year
- ☆81Updated last month
- Code implement reposity of Paper HiQA☆104Updated 9 months ago