A developer built a local RAG pipeline using Ollama, ChromaDB, and TinyLlama for private PDF Q&A, then exposed it as an MCP server so Cursor IDE can query documents directly. The project uses sentence…
Fastembed-rs, a Rust library for generating vector embeddings and reranking, has been released. It supports synchronous usage without Tokio dependency, uses ONNX inference via pykeio/ort and fast enco…
A developer building a RAG pipeline for SRE runbooks shares seven vector search tips based on production experience. Key recommendations include using domain-specific embedding models like BAAI/bge-sm…
A developer built a natural language search for an internal documentation site by calling an AI API instead of training a custom model. The approach uses a well-crafted prompt and a small set of relev…
Researchers at Amphora have built a semantic search engine and open-status classifier over the ResearchMath-14k dataset, a collection of research-level mathematics problems mined from arXiv. The syste…
A developer built a semantic search service using FastAPI and Pinecone, demonstrating how to wire a FastAPI service to the Pinecone vector database for embedding generation and similarity lookup. The …