-
Modern LLMs like Llama seem to outperform traditional RAG methods on long-context tasks, demonstrating improved context handling and understanding, which may lead to reconsidering the need for RAG in …
-
-
https://github.com/dinhanhx/cpu-ish-rag
I recently implement a RAG pipeline with WordLlama, FAISS, gpt-4o-mini. You can copy my code for your own example as you wanted in your roadmap.
-
Right now it's calling rag pipeline for each query.
Potential improvements:
* Only call FRE once but can call user_records (or other potential file addition) multiple times
* Use other indexing …
-
Title.
https://github.com/traceloop/openllmetry
**Add Metrics For:**
- [ ] video ingestion pipeline
- [ ] Audio ingestion pipeline
- [ ] Podcast ingestion pipeline
- [ ] Ebook ingestion pipeli…
-
To be able to uniquely identify data throughout the rag pipeline it will help to have uuids for each data point. these can be used as ids within the database as well.
-
```
from ragas.metrics.critique import harmfulness
from ragas import evaluate
from ragas.metrics import (
answer_relevancy,
faithfulness,
context_recall,
context_precision,
…
-
Release 0.2.11 (#325)
Description: Hi, I have tried the new version (Release 0.2.11), and I am still facing the same issues, particularly with the node sources in the UI. They do not appear as expect…
-
I am looking for a solution to integrate langchain so they can talk to specific Vector DB.
Also build special flow if user ask for specific things to LLM.
-
**Describe the bug**
When using a standard RAG pipeline I get the above error.
**Error message**
```
File "/home/felix/PycharmProjects/anychat/src/anychat/analysis/rag.py", line 124, in qu…