Best LLM application development tools

langchain.com

Best for: AI recommends LangChain most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (100% of those answers)

79.6%

95% CI 66.4–88.5%

39 mentions · avg pos 4.6

first pick 33.3%

llamaindex.ai

Best for: AI recommends LlamaIndex most when buyers ask “LLM framework toolkits vs managed AI application development platforms” (88.9% of those answers)

73.5%

95% CI 59.7–83.8%

36 mentions · avg pos 4

first pick 2.8%

Best for: AI recommends Haystack most when buyers ask “which LLM orchestration framework is best for production-grade AI apps” (100% of those answers)

57.1%

95% CI 43.3–70%

28 mentions · avg pos 5.2

first pick 0%

Best for: AI recommends LangGraph most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (88.9% of those answers)

38.8%

95% CI 26.4–52.8%

19 mentions · avg pos 3.9

first pick 47.4%

Best for: AI recommends Crew AI most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (88.9% of those answers)

34.7%

95% CI 22.9–48.7%

17 mentions · avg pos 5.5

first pick 5.9%

Best for: AI recommends Semantic Kernel most when buyers ask “which LLM orchestration framework is best for production-grade AI apps” (88.9% of those answers)

34.7%

95% CI 22.9–48.7%

17 mentions · avg pos 6.7

first pick 0%

Best for: AI recommends Dify most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (77.8% of those answers)

32.7%

95% CI 21.2–46.6%

16 mentions · avg pos 8.2

first pick 0%

smith.langchain.com

Best for: AI recommends LangSmith most when buyers ask “best tools for building LLM-powered applications” (66.7% of those answers)

32.7%

95% CI 21.2–46.6%

16 mentions · avg pos 17.6

first pick 0%

Best for: AI recommends vLLM most when buyers ask “best tools for building LLM-powered applications” (66.7% of those answers)

28.6%

95% CI 17.8–42.4%

14 mentions · avg pos 10.3

first pick 0%

Best for: AI recommends GPT most when buyers ask “best tools for building LLM-powered applications” (77.8% of those answers)

28.6%

95% CI 17.8–42.4%

14 mentions · avg pos 12.9

first pick 0%

ollama.com

Best for: AI recommends Ollama most when buyers ask “open-source alternatives to managed LLM development platforms” (88.9% of those answers)

26.5%

95% CI 16.2–40.3%

13 mentions · avg pos 8.1

first pick 23.1%

Best for: AI recommends Flowise most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (66.7% of those answers)

26.5%

95% CI 16.2–40.3%

13 mentions · avg pos 10.8

first pick 0%

pinecone.io

Best for: AI recommends Pinecone most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (88.9% of those answers)

24.5%

95% CI 14.6–38.1%

12 mentions · avg pos 9.8

first pick 8.3%

langfuse.com

Best for: AI recommends Langfuse most when buyers ask “open-source alternatives to managed LLM development platforms” (55.6% of those answers)

24.5%

95% CI 14.6–38.1%

12 mentions · avg pos 9.8

first pick 0%

qdrant.tech

Best for: AI recommends Qdrant most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (55.6% of those answers)

22.4%

95% CI 13–35.9%

11 mentions · avg pos 9.4

first pick 9.1%

Best for: AI recommends Llama most when buyers ask “open-source alternatives to managed LLM development platforms” (55.6% of those answers)

22.4%

95% CI 13–35.9%

11 mentions · avg pos 13.2

first pick 0%

helicone.ai

Best for: AI recommends Helicone most when buyers ask “open-source alternatives to managed LLM development platforms” (55.6% of those answers)

20.4%

95% CI 11.5–33.6%

10 mentions · avg pos 9.3

first pick 10%

unstructured.io

Best for: AI recommends Unstructured most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (77.8% of those answers)

18.4%

95% CI 10–31.4%

9 mentions · avg pos 7.4

first pick 11.1%

arize.com

Best for: AI recommends Arize most when buyers ask “how do I evaluate and compare LLM outputs for my AI application” (55.6% of those answers)

18.4%

95% CI 10–31.4%

9 mentions · avg pos 19

first pick 0%

trychroma.com

Best for: AI recommends Chroma most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (55.6% of those answers)

16.3%

95% CI 8.5–29%

8 mentions · avg pos 11.5

first pick 12.5%

weaviate.io

Best for: AI recommends Weaviate most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (55.6% of those answers)

16.3%

95% CI 8.5–29%

8 mentions · avg pos 12

first pick 12.5%

vercel.com

Best for: AI recommends Vercel most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (33.3% of those answers)

16.3%

95% CI 8.5–29%

8 mentions · avg pos 17

first pick 0%

huggingface.co

Best for: AI recommends Hugging Face Transformers most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (66.7% of those answers)

16.3%

95% CI 8.5–29%

8 mentions · avg pos 20.5

first pick 0%

milvus.io

Best for: AI recommends Milvus most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (55.6% of those answers)

14.3%

95% CI 7.1–26.7%

7 mentions · avg pos 13

first pick 14.3%

Best for: AI recommends MLflow most when buyers ask “open-source alternatives to managed LLM development platforms” (44.4% of those answers)

14.3%

95% CI 7.1–26.7%

7 mentions · avg pos 17

first pick 14.3%

Best for: AI recommends DeepEval most when buyers ask “open-source alternatives to managed LLM development platforms” (44.4% of those answers)

14.3%

95% CI 7.1–26.7%

7 mentions · avg pos 17.5

first pick 14.3%

bentoml.com

Best for: AI recommends BentoML most when buyers ask “best tools for building LLM-powered applications” (44.4% of those answers)

14.3%

95% CI 7.1–26.7%

7 mentions · avg pos 18.3

first pick 0%

Best for: AI recommends Arize Phoenix most when buyers ask “best tools for building LLM-powered applications” (44.4% of those answers)

14.3%

95% CI 7.1–26.7%

7 mentions · avg pos 19

first pick 0%

Best for: AI recommends LM Studio most when buyers ask “open-source alternatives to managed LLM development platforms” (55.6% of those answers)

12.2%

95% CI 5.7–24.2%

6 mentions · avg pos 9

first pick 0%

Best for: AI recommends DSPy most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (44.4% of those answers)

12.2%

95% CI 5.7–24.2%

6 mentions · avg pos 10.5

first pick 0%

Best for: AI recommends OpenLLM most when buyers ask “open-source alternatives to managed LLM development platforms” (33.3% of those answers)

12.2%

95% CI 5.7–24.2%

6 mentions · avg pos 15.6

first pick 0%

Best for: AI recommends LocalAI most when buyers ask “open-source alternatives to managed LLM development platforms” (55.6% of those answers)

10.2%

95% CI 4.4–21.8%

5 mentions · avg pos 4.8

first pick 0%

Best for: AI recommends Ray most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (33.3% of those answers)

10.2%

95% CI 4.4–21.8%

5 mentions · avg pos 8.6

first pick 0%

Best for: AI recommends Jan most when buyers ask “open-source alternatives to managed LLM development platforms” (66.7% of those answers)

10.2%

95% CI 4.4–21.8%

5 mentions · avg pos 9.2

first pick 0%

Best for: AI recommends pgvector most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (44.4% of those answers)

10.2%

95% CI 4.4–21.8%

5 mentions · avg pos 11.2

first pick 0%

portkey.ai

Best for: AI recommends Portkey most when buyers ask “which LLM orchestration framework is best for production-grade AI apps” (33.3% of those answers)

10.2%

95% CI 4.4–21.8%

5 mentions · avg pos 15

first pick 0%

mistral.ai

Best for: AI recommends Mistral most when buyers ask “open-source alternatives to managed LLM development platforms” (44.4% of those answers)

10.2%

95% CI 4.4–21.8%

5 mentions · avg pos 15.6

first pick 0%

Best for: AI recommends RAGAS most when buyers ask “how do I evaluate and compare LLM outputs for my AI application” (33.3% of those answers)

10.2%

95% CI 4.4–21.8%

5 mentions · avg pos 22.6

first pick 0%

Best for: AI recommends Streamlit most when buyers ask “best tools for building LLM-powered applications” (44.4% of those answers)

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 4

first pick 0%

Best for: AI recommends AutoGen most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (33.3% of those answers)

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 4.5

first pick 0%

litellm.ai

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 9.5

first pick 0%

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 12.5

first pick 0%

Best for: AI recommends Open WebUI most when buyers ask “open-source alternatives to managed LLM development platforms” (55.6% of those answers)

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 13.3

first pick 25%

botpress.com

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 14.5

first pick 0%

Best for: AI recommends Llama 3 most when buyers ask “open-source alternatives to managed LLM development platforms” (33.3% of those answers)

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 14.8

first pick 0%

Best for: AI recommends Microsoft Agent Framework most when buyers ask “which LLM orchestration framework is best for production-grade AI apps” (33.3% of those answers)

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 15.8

first pick 0%

aws.amazon.com

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 16.3

first pick 0%

opensearch.org

Best for: AI recommends OpenSearch most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (33.3% of those answers)

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 17.3

first pick 0%

docker.com

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 20.3

first pick 0%

wandb.ai

Best for: AI recommends Weights & Biases most when buyers ask “best tools for building LLM-powered applications” (44.4% of those answers)

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 22

first pick 0%

Best for: AI recommends Langflow most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (33.3% of those answers)

8.2%

95% CI 3.2–19.2%

4 mentions · avg pos 23.5

first pick 0%

ray.io

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 8.7

first pick 0%

trulens.org

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 9

first pick 0%

postgresql.org

Best for: AI recommends PostgreSQL most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (33.3% of those answers)

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 10.3

first pick 0%

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 10.3

first pick 0%

sdk.vercel.ai

Best for: AI recommends Vercel AI SDK most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (33.3% of those answers)

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 11

first pick 0%

Best for: AI recommends GPT4All most when buyers ask “open-source alternatives to managed LLM development platforms” (33.3% of those answers)

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 13.7

first pick 0%

tensorflow.org

Best for: AI recommends TensorFlow most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (44.4% of those answers)

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 14

first pick 0%

pytorch.org

Best for: AI recommends PyTorch most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (44.4% of those answers)

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 14.7

first pick 0%

Best for: AI recommends MMLU most when buyers ask “how do I evaluate and compare LLM outputs for my AI application” (33.3% of those answers)

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 16

first pick 0%

Best for: AI recommends AnythingLLM most when buyers ask “open-source alternatives to managed LLM development platforms” (44.4% of those answers)

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 20.3

first pick 0%

confident-ai.com

Best for: AI recommends Confident AI most when buyers ask “how do I evaluate and compare LLM outputs for my AI application” (66.7% of those answers)

6.1%

95% CI 2.1–16.5%

3 mentions · avg pos 35.5

first pick 0%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 4

first pick 0%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 6.5

first pick 50%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 7

first pick 0%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 8

first pick 0%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 8.5

first pick 0%

fastapi.tiangolo.com

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 9

first pick 0%

bubble.io

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 10

first pick 0%

zenml.io

Best for: AI recommends ZenML most when buyers ask “which LLM orchestration framework is best for production-grade AI apps” (33.3% of those answers)

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 10

first pick 0%

azure.microsoft.com

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 11

first pick 0%

databricks.com

Best for: AI recommends Databricks most when buyers ask “how do I evaluate and compare LLM outputs for my AI application” (33.3% of those answers)

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 11

first pick 0%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 12.5

first pick 0%

getmaxim.ai

Best for: AI recommends Bifrost most when buyers ask “which LLM orchestration framework is best for production-grade AI apps” (44.4% of those answers)

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 13

first pick 0%

vectara.com

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 16

first pick 0%

promptlayer.com

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 16.5

first pick 0%

fiddler.ai

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 18

first pick 0%

elastic.co

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 19

first pick 0%

Best for: AI recommends Gemma most when buyers ask “open-source alternatives to managed LLM development platforms” (33.3% of those answers)

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 19

first pick 0%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 22.5

first pick 0%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 23.5

first pick 0%

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 24

first pick 0%

cloud.google.com

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 26

first pick 0%

Best for: AI recommends LLM Comparator most when buyers ask “how do I evaluate and compare LLM outputs for my AI application” (33.3% of those answers)

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 27

first pick 0%

replicate.com

Best for: AI recommends Replicate most when buyers ask “best tools for building LLM-powered applications” (33.3% of those answers)

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 28.5

first pick 0%

braintrust.dev

4.1%

95% CI 1.1–13.7%

2 mentions · avg pos 34.5

first pick 0%

deepset.ai

4.1%

95% CI 1.1–13.7%

2 mentions

first pick 0%

2%

95% CI 0.4–10.7%

1 mentions · avg pos 2

first pick 0%

build.nvidia.com

Best for: AI recommends NVIDIA NeMo Retriever most when buyers ask “what should I use to build a RAG pipeline for my enterprise documents” (33.3% of those answers)

2%

95% CI 0.4–10.7%

1 mentions · avg pos 5

first pick 0%

2%

95% CI 0.4–10.7%

1 mentions · avg pos 6

first pick 0%

dust.tt

2%

95% CI 0.4–10.7%

1 mentions · avg pos 7

first pick 0%

mirascope.io

2%

95% CI 0.4–10.7%

1 mentions · avg pos 7

first pick 0%

react.dev

2%

95% CI 0.4–10.7%

1 mentions · avg pos 7

first pick 0%

2%

95% CI 0.4–10.7%

1 mentions · avg pos 8

first pick 0%

triton.nvidia.com

2%

95% CI 0.4–10.7%

1 mentions · avg pos 8

first pick 0%

zilliz.com

Best for: AI recommends Zilliz most when buyers ask “best frameworks and platforms for developing AI applications with large language models” (33.3% of those answers)

2%

95% CI 0.4–10.7%

1 mentions · avg pos 8

first pick 0%

2%

95% CI 0.4–10.7%

1 mentions · avg pos 8

first pick 0%

ibm.com

2%

95% CI 0.4–10.7%

1 mentions · avg pos 11

first pick 0%

2%

95% CI 0.4–10.7%

1 mentions · avg pos 11

first pick 0%

outsystems.com

2%

95% CI 0.4–10.7%

1 mentions · avg pos 11

first pick 0%