# RAG, Search & Data — open-source repos for vibecoders

> Vector databases, search engines, crawlers and document parsers that feed knowledge to AI. Use these when you need semantic search, embeddings, scraping or turning documents into LLM-ready data.

- [firecrawl/firecrawl](https://github.com/firecrawl/firecrawl) — Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥 (★201k, TypeScript, vibe 99/100) · details: https://ideas.asveas.com/r/firecrawl/firecrawl
- [infiniflow/ragflow](https://github.com/infiniflow/ragflow) — RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure. (★94k, Go, vibe 95/100) · details: https://ideas.asveas.com/r/infiniflow/ragflow
- [unclecode/crawl4ai](https://github.com/unclecode/crawl4ai) — Official Crawl4AI Cloud: a hosted web scraping, extraction, and search API for AI agents. Free API key, 1,000 credits a month, no card. Fully open source: this repo is the Apache-2.0 crawler that powers it, and you can self-host it. (★87.2k, Python, vibe 95/100) · details: https://ideas.asveas.com/r/unclecode/crawl4ai
- [docling-project/docling](https://github.com/docling-project/docling) — Get your documents ready for gen AI (★70.4k, Python, vibe 94/100) · details: https://ideas.asveas.com/r/docling-project/docling
- [mem0ai/mem0](https://github.com/mem0ai/mem0) — The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production. (★68.8k, Python, vibe 94/100) · details: https://ideas.asveas.com/r/mem0ai/mem0
- [meilisearch/meilisearch](https://github.com/meilisearch/meilisearch) — A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. (★59.8k, Rust, vibe 93/100) · details: https://ideas.asveas.com/r/meilisearch/meilisearch
- [run-llama/llama_index](https://github.com/run-llama/llama_index) — LlamaIndex is the document processing platform for AI (★52.9k, Python, vibe 93/100) · details: https://ideas.asveas.com/r/run-llama/llama_index
- [milvus-io/milvus](https://github.com/milvus-io/milvus) — Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search (★46.6k, Go, vibe 92/100) · details: https://ideas.asveas.com/r/milvus-io/milvus
- [qdrant/qdrant](https://github.com/qdrant/qdrant) — Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ (★35.5k, Rust, vibe 91/100) · details: https://ideas.asveas.com/r/qdrant/qdrant
- [chroma-core/chroma](https://github.com/chroma-core/chroma) — Search infrastructure for AI (★29.7k, Rust, vibe 90/100) · details: https://ideas.asveas.com/r/chroma-core/chroma
- [typesense/typesense](https://github.com/typesense/typesense) — Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences (★27.1k, C++, vibe 90/100) · details: https://ideas.asveas.com/r/typesense/typesense
- [weaviate/weaviate](https://github.com/weaviate/weaviate) — Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​. (★16.9k, Go, vibe 87/100) · details: https://ideas.asveas.com/r/weaviate/weaviate
- [pgvector/pgvector](https://github.com/pgvector/pgvector) — Open-source vector similarity search for Postgres (★23.6k, C, vibe 81/100) · details: https://ideas.asveas.com/r/pgvector/pgvector
- [Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) — 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source. (★144k, Python, vibe 97/100) · details: https://ideas.asveas.com/r/Shubhamsaboo/awesome-llm-apps
- [redis/redis](https://github.com/redis/redis) — For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine. (★77.4k, C, vibe 95/100) · details: https://ideas.asveas.com/r/redis/redis
- [anthropics/claude-cookbooks](https://github.com/anthropics/claude-cookbooks) — A collection of notebooks/recipes showcasing some fun and effective ways of using Claude. (★54.5k, Jupyter Notebook, vibe 85/100) · details: https://ideas.asveas.com/r/anthropics/claude-cookbooks
- [dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) — 🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. (★80k, MDX, vibe 77/100) · details: https://ideas.asveas.com/r/dair-ai/Prompt-Engineering-Guide

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Source: https://ideas.asveas.com/c/rag · 17 repositories · Catalog: https://ideas.asveas.com/llms.txt