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In this chapter, you’ll learn about connecting LLMs to external knowledge sources, enhancing the accuracy and relevance of chatbot responses.

Cohere Transcribe Arabic: Open-Source Speech AICohere Turbocharge Your Chatbot with Intent RecognitionCohere Why You Need a Large Language Model for Intent RecognitionCohere Introducing: Cohere For AICohere The Cohere Platform is now publicly availableCohere Build a smart Slack bot with language modelsCohere

Deploy SurrealDB with Docker Desktop ExtensionDocker

RAG Permission Testing with Testcontainers & SpiceDBDocker

DuckDB × cognee: Run SQL Analytics Right Beside Your Graph-Native RAGMotherduck

Structured memory management for AI Applications and AI Agents with DuckDBMotherduck Building a RAG with Astro, FastAPI, SurrealDB and Llama 3.1Fireworks What is OKF? Understanding Google’s Open Knowledge FormatGitbook

Agentic RAG: A Practical Guide for EnterprisesCohere Building RagRabbit, An Open Source RAG Search with Postgres as the Vector Store - NeonNeon Evaluating the Retrieval Robustness of Large Language ModelsCohere

Introducing the embedding() function: Semantic search made easy with SQL!Motherduck Company Spotlight: Qdrant Vector DatabaseReplit Build an end-to-end RAG pipeline entirely in psql using pgrag and DeepSeek - NeonNeon LLM Hallucination: How to Reliably De-hallucinate AI AgentsAppsmith Multi-Tenant RAG With One Neon Project Per User - NeonNeon