RAG API Files

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL

This is an exact mirror of the RAG API project, hosted at https://github.com/danny-avila/rag_api. SourceForge is not affiliated with RAG API. For more information, see the SourceForge Open Source Mirror Directory.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	InfoDownloads / Week
v0.6.0	2025-08-04	1
v0.5.0	2025-05-06	1
v0.4.0	2025-03-06	1
v0.3.0	2024-09-20	0
v0.2.0	2024-06-15	0
Totals: 5 Items		3

You Might Also Like

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

Start Free

Recommended Projects

RAGFlow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded...
LightRAG
LightRAG is a lightweight Retrieval-Augmented Generation (RAG) framework designed for efficient document retrieval and response generation. It is optimized for speed and lower resource consumption, making it ideal for real-time applications.
Raglite
Raglite is a lightweight framework for building Retrieval-Augmented Generation (RAG) pipelines with minimal configuration. It connects large language models to vector databases for context-aware responses, enabling developers to prototype and deploy RAG systems quickly. Raglite focuses on...
PaperQA2
PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a focus on the scientific literature. See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and...
FastRAG
fastRAG is a research framework for efficient and optimized retrieval augmented generative pipelines, incorporating state-of-the-art LLMs and Information Retrieval. fastRAG is designed to empower researchers and developers with a comprehensive tool set for advancing retrieval augmented generation.

RAG API Files

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL

Get an email when there's a new version of RAG API