RAG
Open-source TypeScript agent runtime whose agents can forge their own tools
Alibaba Cloud's model platform for Qwen and third-party LLM APIs
Enterprise RAG 'AI coworkers' with layout-aware source citations
Enterprise models and agents built for private deployment
Open-source canvas for LLM workflows, RAG knowledge bases and agents
Turns websites into LLM-ready Markdown and data for AI agents
AI agents and cited docs search for support and customer teams
MIT-licensed framework for building LLM agents in Python and JavaScript
EU-hosted enterprise search and document AI over your own files
Document parsing platform plus open-source RAG framework
LlamaIndex's managed document parsing and extraction platform, renamed in 2026
AI docs search from the Firecrawl team, now closed to new customers
Self-hosted AI wiki from Chaitin, open source under AGPL
Serverless vector database with pay-per-use pricing
Open training data and small models, now with enterprise data tools
Document parsing and extraction API built for messy PDFs, tables and forms
Tokyo AI for manufacturers' R&D, with its own Japanese LLMs
Open-source text-to-SQL agent, now archived, with paid hosted plans
How to Stop an Agent Returning Documents the User Should Not See
A vector search scoped three ways, and measured each time. Unfiltered, four in five results belonged to anothe...
PR
22 Aug
How to Measure Whether Your RAG Is Retrieving the Right Documents
Twenty questions with known answers, run over 205 real documents. Prefixing titles to chunks raised hit@1 from...
KE
22 Aug
How to Give an Agent Search Over Your Own Documents
Seventy-eight lines with no dependencies join a local embedding model, a vector store and MCP. The interesting...
KE
21 Aug
How to Generate Embeddings Locally
A 46 MB model, running on your laptop, turns text into positions in space. The demonstration: a query whose on...
KE
21 Aug
How to Self-Host Qdrant in Docker
Every retrieval tutorial says "point it at your vector database" and none of them tells you how to run one. On...
KE
21 Aug
MCP, RAG, Agents, Skills: The New AI Vocabulary in Plain English
Somebody says the agent will use MCP to hit the connector, then RAG over the docs, and the skill handles the r...
KE
26 Jul
Qdrant vs Weaviate vs Milvus vs Pinecone: Vector Databases for RAG (2026)
Four vector databases compared for RAG in 2026: licenses, Docker self-host commands, embedded modes, managed p...
KE
21 Jul
Firecrawl vs Crawl4AI vs Jina Reader vs Browser Use — Getting Web Data Into Your LLM (2026)
Four open-source ways to feed web data to an LLM compared: licenses, self-host parity, pricing bases, robots.t...
MA
21 Jul
How to Self-Host AnythingLLM with Docker and Ollama (2026)
We self-hosted AnythingLLM 1.15.0 with Docker and Ollama, embedded a document over the API, and got cited RAG...
KE
21 Jul
LangChain vs LlamaIndex vs LangGraph: Which Orchestration Layer? (2026)
LangChain is now an agent harness on LangGraph, and LlamaIndex moved to Workflows 2.x. We compare all three or...
KE
15 Jul
Mistral OCR 4 Adds Structure to Document AI: Bounding Boxes, Confidence Scores and 170 Languages
Mistral released OCR 4 on 23 June 2026, a document-intelligence model that returns bounding boxes, typed-block...
AI
2 Jul