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fast-graphrag: RAG that intelligently adapts to your use case, data, and queries
Reducto Document Ingestion API
Vector DB Comparison
FRAMES: Factuality, Retrieval, And reasoning MEasurement Set
Understanding Retrieval Augmented Generation
Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Llama-3, Langchain, OpenAI, Upstash, Brave & Serper
WrenAI makes your database RAG-ready. Implement Text-to-SQL more accurately and securely.
TotalRecall This tool extracts and displays data from the Recall feature in Windows 11, providing an easy way to access information about your PC's activity snapshots.
Document elements and metadata - Unstructured
Chunking Techniques with Langchain and LlamaIndex
Smaller, Faster, Cheaper: Introducing Jina Rerankers Turbo and Tiny
AIcrowd | Meta Comprehensive RAG Benchmark: KDD Cup 2024
Bases de données vectorielles: chronique d'une mort annoncée
NVIDIA ChatRTX
Introducing Canopy: An easy, free, and flexible RAG framework powered by Pinecone | Pinecone
Building RAG-based LLM Applications for Production
How to Build a Knowledge Assistant at Scale
kapa.ai - ChatGPT for your developer-facing product
Inkeep - Answer developer questions, instantly.
10k-GPT: Upgrading. Implementing BM25 (text) search…
New Github Copilot Features
How to choose your vector database in 2023?
GitHub - danswer-ai/danswer: Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.
Retrieval Augmented Generation (RAG): Reducing Hallucinations in GenAI Applications