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Search results for large language models retrieval augmented generation

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23 search results found

Txtai ⭐ 6,143

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Llmware ⭐ 1,859

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

Autollm ⭐ 769

Ship RAG based LLM web apps in seconds.

Generativeaiexamples ⭐ 458

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Obsidian Copilot ⭐ 341

🤖 A prototype assistant for writing and thinking

Llm Search ⭐ 271

Querying local documents, powered by LLM

Start Llms ⭐ 271

A complete guide to start and improve your LLM skills in 2023 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Freshqa ⭐ 189

Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)

Txtchat ⭐ 183

💭 Retrieval augmented generation (RAG) and language model powered search applications

Simplyretrieve ⭐ 169

Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.

Awesome Llm Rag ⭐ 147

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

Tonic_validate ⭐ 128

Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

Redisvl ⭐ 105

Redis Vector Library (RedisVL) enables Redis as a realtime vector database for LLM Applications.

Awesome Refreshing Llms ⭐ 85

EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.

Mistral Haystack ⭐ 79

Mistral + Haystack: build RAG pipelines that rock 🤘

RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

A diverse, simple, and secure one-stop LLMOps platform

Retrievegpt ⭐ 18

A simple local large language model (LLM) app used to retrieve internal documents based on questions.

Gpt All Local ⭐ 15

A "chat with your data" example: using a large language models (LLM) to interact with our own (local) data. Everything is local: the embedding model, the LLM, the vector database. This is an example of retrieval-augmented generation (RAG): we find relevant sections from our documents and pass it to the LLM as part of the prompt (see pics).

Build Ragai ⭐ 11

AI-powered Python components and notebooks for leveraging Large Language Models from OpenAI and Hugging Face.

🤖 Long-Form Legal Question Answering with Retrieval-Augmented LLMs.

Llamaindexchat ⭐ 7

LLM Chatbot with Retrieval Augmented Generation using Llamaindex

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