LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
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Updated
Oct 30, 2023 - Python
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.
The LLM Application Framework in .NET
LLM App is a production framework for building and serving AI applications and LLM-enabled real-time data pipelines.
Index and query any data using LLM and natural language, tracking sources and showing citations.
Neurite: Fractal Second Brain
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
An LLM-powered advanced RAG pipeline built from scratch
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Harness LLMs with Multi-Agent Programming
Integrated AI environment in the terminal. Build, test and instruct agents.
Build semantic search and retrieval-augmented generation (RAG) fast
The Kubernetes operator for K8ssandra
Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog
an intro to retrieval augmented large language model
Use LLMs for building real-world apps
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
Add a description, image, and links to the rag topic page so that developers can more easily learn about it.
To associate your repository with the rag topic, visit your repo's landing page and select "manage topics."