Haystack
ActiveDescription
Haystack is an enterprise-grade framework for RAG and search applications, covering document processing, retrieval, generation, and evaluation end to end.
Haystack is an enterprise-grade framework for RAG and search applications, covering document processing, retrieval, generation, and evaluation end to end.
LLM-driven extraction of unstructured data, built for API deployments and ETL pipeline workflows. Automates document parsing, PDF extraction, and intelligent data processing with LLM-powered intelligence.
An agentic LLM-powered data processing and ETL system. Enables complex data transformations using natural language-defined pipelines, turning unstructured data into structured, analyzable outputs with LLM intelligence.
LightRAG is a simple and fast Retrieval-Augmented Generation framework using graph-enhanced retrieval, published at EMNLP 2025.
Run any open-source LLMs such as DeepSeek and Llama as OpenAI-compatible API endpoints in the cloud. Supports fine-tuning, quantization, and distributed inference for production-grade LLM deployment.
Production-focused best practices for index design, filtering, reranking, and evaluation when building RAG retrieval layers with Qdrant.
Read more →Most RAG pipelines fail at retrieval, not generation. This article covers five chunking strategies, hybrid search, reranking pipelines, and a production-ready decision framework.
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