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i am creating a testset using my nodes with below codes:
```
from ragas.testset.generator import TestsetGenerator
from ragas.testset.evolutions import simple, reasoning, multi_context
generato…
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I get this output when I run npm run generate :
`BadRequestError: 400 This model's maximum context length is 8192 tokens, however you requested 23869 tokens (23869 in your prompt; 0 for the complet…
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Hello there, I started building a RAG application powered by Llamaindex.TS (chrome extension for students).
I was wondering whether the readers/agents/tools etc. provided in LlamaHub --> eg [https:/…
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### Describe the bug
Langfuse (cloud) doesn't recognize traces when `Llamaindex Semantic Chunker` and `Azure OpenAI Embeddings` are used.
I tried all the available methods to set up the link betwe…
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Every time I run the agent I get the following error:
```
TypeError: undefined is not an object (evaluating 'JSON.stringify(value, null, 2).replace')
at stringifyJSONToMessageContent (/.../no…
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I was trying to run the notebook using groq/Llama3 API
```
from llama_index.llms.groq import Groq
llm = Groq(model="llama3-8b-8192", api_key="your_api_key")
from llama_index.core import Setti…
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We are using `@internal` modifiers but we don't have `stripInternal` in any of the tsconfigs, so this is actually leaking into the d.ts.
https://github.com/run-llama/LlamaIndexTS/blob/main/packages…
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## User Story
As a **engineer**, I would like **improve RAG performance** so that **the retrieved documents and generated answer are relevant to user's search query**.
## Detailed Description
Semanti…
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In the document we see that RAGChecker requires two inputs one is rag_results and all_metrics. How to generate rag_results for the own data. I want to evaluate my rag application on large set of user …
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After the commit below, the upload button only works for CSV and image files.
[feat: use create-llama chat session (](https://github.com/run-llama/chat-llamaindex/commit/5c16a343eab3daaefa363a8d4…