All Questions
5 questions
0
votes
0
answers
415
views
BM25Retriever + ChromaDB Hybrid Search Optimization using LangChain
For those who have integrated the ChromaDB client with the Langchain framework, I am proposing the following approach to implement the Hybrid search (Vector Search + BM25Retriever):
from ...
0
votes
0
answers
183
views
Building a RAG agent for a large scale project
I have recently created a chatbot using langchain, openAI (for embeddings + LLM) and Pinecone as my vectorDB (serverless). I have not used any advance RAG techniques as of now simple because I don't ...
0
votes
1
answer
591
views
Connect Chainlit to existing ChromaDb
I am trying to create a RAG application using chainlit.
This is the code, I got from an existing tutorial, which is working fine. Only problem that the user has to choose a pdf file every time. I want ...
- 6,954
2
votes
0
answers
718
views
How to combine Parent Document Retriever with Self Query Retriever with Lang Chain framework
I have implemented a Self Query retriever (https://python.langchain.com/docs/modules/data_connection/retrievers/self_query) for my RAG model, and it works fine. I can retrieve specific chunks of ...
- 125
1
vote
3
answers
7k
views
Langchain RetrievalQA: Missing some input keys
I have created a RetrievalQA Chain, but facing an issue. When calling the Chain, I get the following error: ValueError: Missing some input keys: {'query', 'typescript_string'}
My code looks as ...
- 565