Document chat interface — build RAG-powered document Q&A chat (short listing)
Short listing — license not verifiable; architecture and patterns for natural-language document Q&A: extraction, chunking, embeddings, vector search, conversation management
- What
- Short listing — license not verifiable; architecture and patterns for natural-language document Q&A: extraction, chunking, embeddings, vector search, conversation management
- Cost
- Free
- Needs
- a Python environment; for the OpenAI-based examples an OpenAI API key (billed) — the local sentence-transformers/FAISS path needs no key
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Selected by Skill Harbor — short listing (the discovery manifest records no license for this skill — the manifest makes faith, so no content is reproduced beyond this summary; the repo frontmatter carries no license field): @qodex-ai's document-chat-interface skill — a build guide for chat interfaces that answer natural-language questions over documents: document processing (PDF, GitHub repos, email archives, web pages, YouTube transcripts), text extraction and smart chunking, embeddings and vector storage, conversation management with history and question refinement, source citations, clarifying questions, and error handling — with implementation examples in LangChain, LlamaIndex, and a raw sentence-transformers/FAISS approach, plus best practices and an implementation checklist. Honest caveats: license terms not verifiable — short listing with a link only; some code examples use OpenAI embeddings (billed API) while others use local models (sentence-transformers/FAISS) — pick the cost model that fits you. Skill Harbor never reviews the code, review it yourself before use. Discovered via skills.sh.
Version:
Install
Prerequisites: a Python environment; for the OpenAI-based examples an OpenAI API key (billed) — the local sentence-transformers/FAISS path needs no key Install "Document chat interface — build RAG-powered document Q&A chat (short listing)" for me. It gives my agent @qodex-ai's document-chat-interface build guide: process documents (PDFs, repos, emails, web pages, transcripts) with extraction and chunking, generate embeddings, store them in a vector database, build the chat layer with conversation history and question refinement, add source citations and error handling, and follow the implementation examples (LangChain, LlamaIndex, or local sentence-transformers/FAISS) plus best practices and the implementation checklist. IMPORTANT: the license terms were not verifiable (the discovery manifest records no license; the repo frontmatter carries no license field) — fetch from the link only, reproduce nothing beyond the link, and read the license terms yourself before reuse. Repository: https://github.com/qodex-ai/ai-agent-skills/blob/main/skills/document-chat-interface/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "document-chat-interface". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. read the license terms before reuse, choose the embeddings path — billed OpenAI API or local models). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.