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RAG
Interact with your documents using the power of GPT, 100% privately, no data leaks
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Super performant RAG pipelines for AI apps. Summarization, Retrieve/Rerank and Code Interpreters in one simple API.
Supercharge Your LLM Application Evaluations 🚀
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions
Create your own ChatGPT with Retrieval-Augmented-Generation workshop
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using …
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experi…
Python pipeline that automates URL batching for creating search apps with Google Cloud's Vertex AI Search.
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
A collection of useful functions to be deployed as custom skills for Azure Cognitive Search
Build a Retrieval Augmented Generation solution using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
This sample shows how to create two AKS-hosted chat applications that use OpenAI, LangChain, ChromaDB, and Chainlit using Python and deploy them to an AKS environment built in Terraform.
RAGStack is an out of the box solution simplifying Retrieval Augmented Generation (RAG) in AI apps.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
A helper script collecting contents of a repo and placing it in one text file.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.