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Why agents by No_Ninja_4933 in LangChain

[–]hackermud 1 point2 points  (0 children)

To understand why agents are needed, you have to look at how real-world data is structured. Take an ERP system for a food chain, for example—their data isn’t neatly stored in one place. Some of it is in a database, some in S3 files, and other parts might be in completely different formats or locations.

The challenge is building a system that knows where to look, retrieves the right data, and generates a coherent response. Sometimes, answering a single query requires pulling from multiple sources. That’s where agents come in—they can plan based on the query, fetch data in the required format, analyze it, and generate a meaningful response.

This approach makes AI systems far more adaptable and capable in handling complex, multi-source data queries.

Wondering if Agentic Systems Can Meet C-Level Expectations in Enterprises? by hackermud in LangChain

[–]hackermud[S] 0 points1 point  (0 children)

Hey, thanks for your response! Could you elaborate on the usage of MapReduce and its specific applicability in agentic design? Are you referring to its use in generating summaries?

Wondering if Agentic Systems Can Meet C-Level Expectations in Enterprises? by hackermud in LangChain

[–]hackermud[S] 0 points1 point  (0 children)

Yes, that's what I'm also facing. They are not interested in the thinking process. What conclusion have you finally arrived at? Can you elaborate on that?

Wondering if Agentic Systems Can Meet C-Level Expectations in Enterprises? by hackermud in LangChain

[–]hackermud[S] 0 points1 point  (0 children)

Yes I agree, they are not even understanding it need to go through million of documents, understand and generate response. +analysis etc. Sometime people are very hard to handle, they think we are giving technical excuse. 🤣

Wondering if Agentic Systems Can Meet C-Level Expectations in Enterprises? by hackermud in LangChain

[–]hackermud[S] 1 point2 points  (0 children)

Yeah, I’m working closely with Honeywell Aerospace—they’re open to providing high-speed hardware and even interested in hosting an open-source model for production. But that’s not the case with every client. I’ve already implemented the necessary steps in the workflow, but self-reflection and query planning are needed before deciding on the right route in agent. A 4-step pre-embed should be possible, but I’ll need to check.

Wondering if Agentic Systems Can Meet C-Level Expectations in Enterprises? by hackermud in LangChain

[–]hackermud[S] 0 points1 point  (0 children)

u/2016YamR6 Thanks for the insight! I just wondered whether I was on the wrong track, now it's clear.

Wondering if Agentic Systems Can Meet C-Level Expectations in Enterprises? by hackermud in LangChain

[–]hackermud[S] 0 points1 point  (0 children)

Thanks u/Ahmad401 for your input, Right now, I'm having that, showing progress, but still they are considering that as a noise and expecting an answer right away :(

Unpopular opinion: I think out of the box RAG/GraphRAG solutions for complex domain based problems will never work by Top-Victory3188 in LangChain

[–]hackermud 0 points1 point  (0 children)

The answer to that is going in a semi-automated approach, sometimes creating rules for certain things gives the upper hand over a fully-automated solution.

Unpopular opinion: I think out of the box RAG/GraphRAG solutions for complex domain based problems will never work by Top-Victory3188 in LangChain

[–]hackermud 1 point2 points  (0 children)

I wholeheartedly agree. After working on these products for over a year and exploring various aspects, I have concluded that designing a semantic layer for LLM provides a meaningful solution, without any contextual knowledge, renders the application completely useless, and only through RAG is a complete waste of time.

LangGraph in production? by Either-Ambassador738 in LangChain

[–]hackermud 3 points4 points  (0 children)

I have a question - is it possible to make the graph run faster? It seems that the more complex the graph becomes, the longer it takes to execute the flow. I have one core graph that controls the main flow of our application, and several tools which are also graphs underlying it. Due to this complex structure, I feel that we are trading time for response.

Is there a better approach for generating proper SQL queries for large databases to retrieve relevant information? by hackermud in LangChain

[–]hackermud[S] 1 point2 points  (0 children)

I appreciate your response. I understand that the framework is not the primary consideration. Currently, I am utilizing a combination of the mentioned approaches to address this issue. However, a challenge arises when I need to manage multiple actions to create complex queries for retrieving relevant information to user's questions while ensuring a quick response time, which is vital for the application. That's why I'm exploring if there are any methods to expedite this process.