AI for RAG
Retrieval-augmented generation stacks and vector search.
| # | Tool | Category | Pricing | Visit |
|---|---|---|---|---|
| 1 | LlamaIndex Python RAG framework — connect LLMs to 160+ data sources with production-grade retrieval pipelines | LLM Frameworks | Free | Visit |
| 2 | LangChain Open-source LLM application framework — chains, agents, RAG, and 700+ integrations with 127K GitHub stars | LLM Frameworks | Free | Visit |
| 3 | Haystack Open-source LLM framework for RAG and NLP pipelines — production-ready by deepset | LLM Frameworks | Free | Visit |
| 4 | Pinecone Managed vector database for production AI apps — serverless and low-latency | LLM Frameworks | Freemium | Visit |
| 5 | Weaviate Open-source vector database — hybrid search, multi-tenancy, and native LLM module integrations for RAG | LLM Frameworks | Free | Visit |
| 6 | Chroma Open-source embedding database for LLM apps — start in 3 lines of Python | LLM Frameworks | Free | Visit |
| 7 | Qdrant High-performance open-source vector database built in Rust | LLM Frameworks | Free | Visit |
| 8 | LanceDB Embedded vector database for AI — serverless, columnar storage with Lance format | LLM Frameworks | Free | Visit |
| 9 | Milvus Open-source vector database for billion-scale AI applications | LLM Frameworks | Free | Visit |
| 10 | Voyage AI State-of-the-art embedding and reranking models — domain-specific retrieval APIs | LLM Frameworks | Freemium | Visit |