Results for “retrieval augmented generation”

…▷ #general (46 messages🔥): LlamaIndex doc website bugs, Cached Augmented Generation with Gemini, Custom Reader for Python File Objects, Domain-specific vector stores in LlamaIndex, AgentWorkflow parallel calls Users report bugs on…

…Members discussed whether the 'memory thing' is just RAG (Retrieval-Augmented Generation) on history or something more, with one suggesting that user-specific context is stored and compressed, seeing an original version that stores…

…taking the form of sophisticated modular pipelines, e.g., Retrieval Augmented Generation (RAG), where each module may involve a distinct Lang... OpenInterpreter ▷ #general (11 messages🔥): Understanding OS Mode Discord Event Timing Viewer…

…with LlamaIndex Workflows: Learn to build a high-performance Retrieval-Augmented Generation (RAG) system with LlamaIndex Workflows, featuring an event-driven architecture details here. The guide compares this approach with other frameworks …

…Files Via Plus Button: Users clarified that in Chat mode, RAG (Retrieval-Augmented Generation) capable models in LM Studio can attach files via the '+' sign in the message prompt. Users can verify whether the model they're using is RAG…

…details. DeepSeek RAG Minimizes Complexity: DeepSeek reroutes retrieval-augmented generation by permitting direct ingestion of extensive documents, as noted in discussion. KV caching boosts throughput, prompting some to declare classic RAG …

…on mobile devices, potentially opening up new applications in augmented reality, image editing, and computer vision on edge devices. Hugging Face is releasing Apache-licensed optimized model checkpoints for SAM 2 in various sizes, along…

…Another idea was presented on explaining constrained generation through JSONSchema and grammar, emphasizing its benefits for improved code and feature extraction. The focus is on how this can lead to better RAG (Retrieval-Augmented…

…discussed Model Context Protocol (MCP) and its relationship to Retrieval Augmented Generation (RAG), noting that MCP complements RAG by standardizing the connection of LLM applications to tools. @svpino urged people to learn MCP.…

…better error handling. Others emphasized the need for improved retrieval features and adjustable usage limits. Clamor for Image Generation: Some members requested direct integration of DALL-E or Stability AI into OpenRouter, hoping to…

…Flash for text-to-image tasks and recommends dedicated image generation models like Google’s own Imagen 3. Separately, @_akhaliq notes that Gemini Canvas for coding works with Gemini 2.0 Flash for now. Mistral AI released Mistral Small 3.1,…

…RAG Rescues Speedy, Tiny Models: Community members rely on Retrieval-Augmented Generation to tame small models that hallucinate heavily, boosting final answer accuracy. Others prefer fully fine-tuned setups for static data, skipping RAG…