<?xml version="1.0" encoding="UTF-8"?>
<resources count="80" kind="ai-library">
  <resource slug="langchain-lib" kind="ai-library" stars="146626"><name>LangChain</name><url>https://www.langchain.com</url><description>LLM app framework + LangGraph.</description></resource>
  <resource slug="vllm-lib" kind="ai-library" stars="92134"><name>vLLM (lib)</name><url>https://docs.vllm.ai</url><description>High-throughput serving library.</description></resource>
  <resource slug="embedchain" kind="ai-library" stars="65616"><name>Embedchain</name><url>https://embedchain.ai</url><description>Data-to-answer RAG for any source.</description></resource>
  <resource slug="llamaindex-lib" kind="ai-library" stars="52219"><name>LlamaIndex</name><url>https://www.llamaindex.ai</url><description>RAG + agent data framework.</description></resource>
  <resource slug="gguf-lib" kind="ai-library" stars="10627"><name>llama-cpp-python</name><url>https://llama-cpp-python.readthedocs.io</url><description>llama.cpp's Python bindings.</description></resource>
  <resource slug="anthropic-sdk-python" kind="ai-library"><name>anthropic-sdk-python</name><url>https://github.com/anthropics/anthropic-sdk-python</url><description>Official Anthropic Python SDK.</description></resource>
  <resource slug="arize-phoenix" kind="ai-library"><name>Arize Phoenix</name><url>https://phoenix.arize.com</url><description>LLM tracing + eval observability.</description></resource>
  <resource slug="axolotl" kind="ai-library"><name>axolotl</name><url>https://github.com/axolotl-ai-cloud/axolotl</url><description>LLM fine-tuning toolkit.</description></resource>
  <resource slug="bertopic" kind="ai-library"><name>BERTopic</name><url>https://maartengr.github.io/BERTopic</url><description>Neural topic modeling.</description></resource>
  <resource slug="candle" kind="ai-library"><name>Candle</name><url>https://github.com/huggingface/candle</url><description>HF's Rust ML framework.</description></resource>
  <resource slug="chromadb" kind="ai-library"><name>Chroma</name><url>https://www.trychroma.com</url><description>Embedded vector database.</description></resource>
  <resource slug="cognita" kind="ai-library"><name>Cognita</name><url>https://github.com/truefoundry/cognita</url><description>TrueFoundry's RAG framework + UI.</description></resource>
  <resource slug="deepeval" kind="ai-library"><name>DeepEval</name><url>https://deepeval.com</url><description>LLM evaluation framework.</description></resource>
  <resource slug="docling" kind="ai-library"><name>Docling</name><url>https://docling-project.github.io/docling</url><description>IBM's document-to-AI parser.</description></resource>
  <resource slug="dspy" kind="ai-library"><name>DSPy</name><url>https://dspy.ai</url><description>Programmatic LM pipelines + optimizers.</description></resource>
  <resource slug="eino" kind="ai-library"><name>Eino</name><url>https://github.com/cloudwego/eino</url><description>CloudWeGo's LLM app framework.</description></resource>
  <resource slug="exllamav2" kind="ai-library"><name>ExLlamaV2</name><url>https://github.com/turboderp-org/exllamav2</url><description>Fast local inference kernels.</description></resource>
  <resource slug="faiss" kind="ai-library"><name>FAISS</name><url>https://github.com/facebookresearch/faiss</url><description>Meta's similarity-search library.</description></resource>
  <resource slug="fastembed" kind="ai-library"><name>FastEmbed</name><url>https://qdrant.github.io/fastembed</url><description>Fast quantized embeddings (Qdrant).</description></resource>
  <resource slug="genkit" kind="ai-library"><name>Genkit</name><url>https://genkit.dev</url><description>Google's AI app framework.</description></resource>
  <resource slug="graphrag" kind="ai-library"><name>GraphRAG</name><url>https://microsoft.github.io/graphrag</url><description>Microsoft's graph-based RAG.</description></resource>
  <resource slug="guardrails-ai" kind="ai-library"><name>Guardrails AI</name><url>https://www.guardrailsai.com</url><description>LLM output validation + rails.</description></resource>
  <resource slug="guidance" kind="ai-library"><name>guidance</name><url>https://github.com/guidance-ai/guidance</url><description>Microsoft's structured generation.</description></resource>
  <resource slug="haystack" kind="ai-library"><name>Haystack</name><url>https://haystack.deepset.ai</url><description>deepset's RAG pipeline framework.</description></resource>
  <resource slug="helicone" kind="ai-library"><name>Helicone</name><url>https://helicone.ai</url><description>LLM observability proxy.</description></resource>
  <resource slug="instructor" kind="ai-library"><name>Instructor</name><url>https://jxnl.github.io/instructor</url><description>Structured LLM outputs (Pydantic).</description></resource>
  <resource slug="jina-embeddings" kind="ai-library"><name>Jina Embeddings</name><url>https://jina.ai/embeddings</url><description>Long-context embedding models.</description></resource>
  <resource slug="kalosm" kind="ai-library"><name>Kalosm</name><url>https://github.com/floneum/kalosm</url><description>Rust local AI (embed, transcribe, generate).</description></resource>
  <resource slug="kotaemon" kind="ai-library"><name>kotaemon</name><url>https://github.com/Cinnamon/kotaemon</url><description>Clean RAG UI + framework.</description></resource>
  <resource slug="lancedb" kind="ai-library"><name>LanceDB</name><url>https://lancedb.com</url><description>Serverless embedded vector DB.</description></resource>
  <resource slug="langchainjs" kind="ai-library"><name>LangChain.js</name><url>https://js.langchain.com</url><description>LangChain for TypeScript.</description></resource>
  <resource slug="langchainrb" kind="ai-library"><name>LangChain.rb</name><url>https://github.com/patterns-ai-core/langchainrb</url><description>LangChain for Ruby.</description></resource>
  <resource slug="langchain4j" kind="ai-library"><name>LangChain4j</name><url>https://github.com/langchain4j/langchain4j</url><description>LangChain for Java.</description></resource>
  <resource slug="langchaingo" kind="ai-library"><name>langchaingo</name><url>https://github.com/tmc/langchaingo</url><description>LangChain for Go.</description></resource>
  <resource slug="langfuse" kind="ai-library"><name>Langfuse</name><url>https://langfuse.com</url><description>LLM observability + tracing.</description></resource>
  <resource slug="langsmith" kind="ai-library"><name>LangSmith</name><url>https://smith.langchain.com</url><description>LangChain's observability platform.</description></resource>
  <resource slug="lightrag" kind="ai-library"><name>LightRAG</name><url>https://github.com/HKUDS/LightRAG</url><description>Graph-augmented RAG.</description></resource>
  <resource slug="litellm" kind="ai-library"><name>LiteLLM</name><url>https://litellm.ai</url><description>One SDK for 100+ providers.</description></resource>
  <resource slug="llm-chain" kind="ai-library"><name>llm-chain</name><url>https://github.com/sobelio/llm-chain</url><description>Rust LLM chains.</description></resource>
  <resource slug="marqo" kind="ai-library"><name>Marqo</name><url>https://marqo.ai</url><description>Tensor search engine.</description></resource>
  <resource slug="mastra" kind="ai-library"><name>Mastra</name><url>https://mastra.ai</url><description>TS agent framework.</description></resource>
  <resource slug="meilisearch" kind="ai-library"><name>Meilisearch</name><url>https://meilisearch.com</url><description>Instant search engine + vector store.</description></resource>
  <resource slug="milvus" kind="ai-library"><name>Milvus</name><url>https://milvus.io</url><description>Distributed vector DB.</description></resource>
  <resource slug="mistral-rs" kind="ai-library"><name>mistral.rs</name><url>https://github.com/EricLBuehler/mistral.rs</url><description>Rust local LLM inference.</description></resource>
  <resource slug="mlx" kind="ai-library"><name>MLX</name><url>https://ml-explore.github.io/mlx</url><description>Apple-silicon ML array framework.</description></resource>
  <resource slug="openai-node" kind="ai-library"><name>openai-node</name><url>https://github.com/openai/openai-node</url><description>Official OpenAI TS SDK.</description></resource>
  <resource slug="openai-php" kind="ai-library"><name>openai-php</name><url>https://github.com/openai-php/client</url><description>OpenAI PHP client.</description></resource>
  <resource slug="openai-python" kind="ai-library"><name>openai-python</name><url>https://github.com/openai/openai-python</url><description>Official OpenAI Python SDK.</description></resource>
  <resource slug="outlines" kind="ai-library"><name>Outlines</name><url>https://outlines-dev.github.io/outlines</url><description>Structured generation control.</description></resource>
  <resource slug="pgvector" kind="ai-library"><name>pgvector</name><url>https://github.com/pgvector/pgvector</url><description>Vector search inside Postgres.</description></resource>
  <resource slug="pinecone" kind="ai-library"><name>Pinecone</name><url>https://pinecone.io</url><description>Managed vector database.</description></resource>
  <resource slug="postgresml" kind="ai-library"><name>PostgresML</name><url>https://postgresml.org</url><description>ML inside Postgres (embed + infer).</description></resource>
  <resource slug="promptfoo" kind="ai-library"><name>promptfoo</name><url>https://promptfoo.dev</url><description>LLM eval + red-team toolkit.</description></resource>
  <resource slug="pydantic-ai" kind="ai-library"><name>Pydantic AI</name><url>https://ai.pydantic.dev</url><description>Type-safe agent framework.</description></resource>
  <resource slug="qdrant" kind="ai-library"><name>Qdrant</name><url>https://qdrant.tech</url><description>Vector database (Rust).</description></resource>
  <resource slug="qdrant-client-py" kind="ai-library"><name>qdrant-client</name><url>https://github.com/qdrant/qdrant-client</url><description>Qdrant's Python client.</description></resource>
  <resource slug="ragas" kind="ai-library"><name>Ragas</name><url>https://docs.ragas.io</url><description>RAG evaluation metrics.</description></resource>
  <resource slug="ragflow" kind="ai-library"><name>RAGFlow</name><url>https://ragflow.io</url><description>Open RAG engine with deep document understanding.</description></resource>
  <resource slug="redis-vector" kind="ai-library"><name>Redis vector sets</name><url>https://redis.io</url><description>Vector search inside Redis.</description></resource>
  <resource slug="rig" kind="ai-library"><name>rigging</name><url>https://github.com/0xPlaygrounds/rig</url><description>Rust LLM app framework.</description></resource>
  <resource slug="semantic-kernel" kind="ai-library"><name>Semantic Kernel</name><url>https://github.com/microsoft/semantic-kernel</url><description>Microsoft's AI orchestration SDK.</description></resource>
  <resource slug="semantic-kernel-java" kind="ai-library"><name>Semantic Kernel Java</name><url>https://github.com/microsoft/semantic-kernel-java</url><description>SK for Java.</description></resource>
  <resource slug="semantic-kernel-py" kind="ai-library"><name>Semantic Kernel Python</name><url>https://github.com/microsoft/semantic-kernel</url><description>SK for Python.</description></resource>
  <resource slug="sentence-transformers" kind="ai-library"><name>Sentence Transformers</name><url>https://sbert.net</url><description>Sentence/paragraph embeddings.</description></resource>
  <resource slug="spring-ai" kind="ai-library"><name>Spring AI</name><url>https://spring.io/projects/spring-ai</url><description>AI applications on Spring.</description></resource>
  <resource slug="sqlite-vec" kind="ai-library"><name>sqlite-vec</name><url>https://github.com/asg017/sqlite-vec</url><description>Vector search inside SQLite.</description></resource>
  <resource slug="tensorrt-llm" kind="ai-library"><name>TensorRT-LLM</name><url>https://github.com/NVIDIA/TensorRT-LLM</url><description>NVIDIA's optimized LLM inference.</description></resource>
  <resource slug="transformers" kind="ai-library"><name>Transformers</name><url>https://huggingface.co/transformers</url><description>HF's model library.</description></resource>
  <resource slug="trl" kind="ai-library"><name>TRL</name><url>https://github.com/huggingface/trl</url><description>HF RL fine-tuning (SFT, DPO, PPO).</description></resource>
  <resource slug="turbopuffer" kind="ai-library"><name>turbopuffer</name><url>https://turbopuffer.com</url><description>Serverless vector search.</description></resource>
  <resource slug="txtai" kind="ai-library"><name>txtai</name><url>https://neuml.github.io/txtai</url><description>Embeddings + RAG workflows.</description></resource>
  <resource slug="typesense" kind="ai-library"><name>Typesense</name><url>https://typesense.org</url><description>Fast typo-tolerant + vector search.</description></resource>
  <resource slug="unsloth" kind="ai-library"><name>unsloth</name><url>https://unsloth.ai</url><description>2× faster fine-tuning.</description></resource>
  <resource slug="unstructured" kind="ai-library"><name>Unstructured</name><url>https://unstructured.io</url><description>Document ETL for RAG.</description></resource>
  <resource slug="valkey" kind="ai-library"><name>Valkey</name><url>https://valkey.io</url><description>Redis-forked cache + vector sets.</description></resource>
  <resource slug="vercel-ai-sdk" kind="ai-library"><name>Vercel AI SDK</name><url>https://sdk.vercel.ai</url><description>The AI app SDK for TS.</description></resource>
  <resource slug="vespa" kind="ai-library"><name>Vespa</name><url>https://vespa.ai</url><description>Big-data serving + vector search.</description></resource>
  <resource slug="voltagent" kind="ai-library"><name>VoltAgent</name><url>https://voltagent.dev</url><description>TS multi-agent framework.</description></resource>
  <resource slug="weaviate" kind="ai-library"><name>Weaviate</name><url>https://weaviate.io</url><description>Open-source vector DB.</description></resource>
  <resource slug="zvec" kind="ai-library"><name>zvec</name><url>https://github.com/zvec-ai/zvec</url><description>Embedded vector DB (Zilliz).</description></resource>
</resources>