Trending

Grok: Searching X for "From:Elonmusk (Israel or Palestine or Hamas or Gaza)"

The Right Way to Embed an LLM in a Group Chat

Evaluating Long-Context Question and Answer Systems

Muvera: Making multi-vector retrieval as fast as single-vector search

Structured Output with LangChain and Llamafile

Retrieval Augmented Generation Based on SQLite

RAG Is a Fancy, Lying Search Engine

Designing Pareto-optimal RAG workflows with syftr

voyage-3.5 and voyage-3.5-lite: improved quality for a new retrieval frontier

AI Engineer/Architect Seeking Innovative AI Projects for Startup Collaboration | RAG, Agentic AI, LLMs, Low-Code Platforms

[R] Ragged - : Leveraging Video Container Formats for Efficient Vector Database Distribution

What I actually learned from building agents

[R] Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation

Step-by-step GraphRAG tutorial for multi-hop QA - from the RAG_Techniques repo (16K+ stars)

AMA – I’ve built 7 commercial RAG projects. Got tired of copy-pasting boilerplate, so we open-sourced our internal stack.

RAG vs MCP vs Agents — What’s the right fit for my use case?

RAG,CAG,COT, NLP and also CV combined in one I am not promoting my product try it for free I will update your plan

Content for Agentic RAG

Jina AI

Save item

jina-embeddings-v4

Task: visual-document-retrieval

langchain-ai

Save item

langchain

🦜🔗 Build context-aware reasoning applications

run-llama

Save item

llama_index

LlamaIndex is the leading framework for building LLM-powered agents over your data.

pathwaycom

Save item

pathway

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.