STACKFOR

STACKFOR

StackFor chatting with your documents (RAG)

Provisional seed stack, low confidence, not hands-on tested. Affiliate status was not an input.

Ask questions of a private corpus and see which passage the answer came from.

BuilderAgent fanIntermediateProvisional scores

STACK SCORE

88

Mean of the role winners, compatibility +4. Separate from each tool score.

Provisional seed scores. Method seed-v0-provisional, confidence low, not hands-on tested. The band around a number is a ±8 display label, not a measured interval. Ordering uses the point estimate.

We may earn a commission if a tracking link is connected and you buy through it. It never changes ranks. In this v1 seed, tracking URLs are empty, so “Open site” goes to the vendor. Sponsorship rules.

Recommended stack

Either a no-code doc chat, or a RAG app: parse, embed, retrieve, answer.

Example compatibility note, not a measured integration test. LlamaIndex supports pgvector and Pinecone.

ROLE

Ready-made doc chat

No-code chat over your files.

Recommended

Gemini Notebook

Free, grounded, with citations.

85

77–93 · low confidence

  • Projects with large files.

  • Projects and file search.

ROLE

RAG framework / parsing

Chunking, parsing, retrieval.

Recommended

LlamaIndex

Framework plus LlamaParse.

83

75–91 · low confidence

  • When retrieval is one step in an agent.

ROLE

Vector store

Embeddings you can query.

Recommended

Supabase

pgvector next to your data.

New tool

85

77–93 · low confidence

ROLE

LLM API

The model call inside the product.

Recommended

Anthropic API

Citations API.

New tool

83

75–91 · low confidence

Ranked tools

Sorted by StackFor Score only. A tool can appear twice when it fills two roles. Affiliate programs are not on this list.

  1. #1
    Gemini Notebook

    Ready-made doc chat · role rank 1

    85

    77–93 · low confidence

    Free, grounded, with citations.

    Goal fit25%
    90
    Output quality20%
    86
    Ease for vibe coders15%
    94
    Pricing and free tier15%
    90
    Integrations and API10%
    52
    Momentum10%
    84
    Community sentiment5%
    84

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open Gemini Notebook
  2. #2
    Supabase

    Vector store · role rank 1

    New tool

    85

    77–93 · low confidence

    pgvector next to your data.

    Goal fit25%
    86
    Output quality20%
    84
    Ease for vibe coders15%
    86
    Pricing and free tier15%
    82
    Integrations and API10%
    90
    Momentum10%
    86
    Community sentiment5%
    84

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open Supabase
  3. #3
    Anthropic API

    LLM API · role rank 1

    New tool

    83

    75–91 · low confidence

    Citations API.

    Goal fit25%
    88
    Output quality20%
    90
    Ease for vibe coders15%
    74
    Pricing and free tier15%
    66
    Integrations and API10%
    86
    Momentum10%
    88
    Community sentiment5%
    82

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open Anthropic API
  4. #4
    Claude

    Ready-made doc chat · role rank 2

    New tool

    83

    75–91 · low confidence

    Projects with large files.

    Goal fit25%
    86
    Output quality20%
    90
    Ease for vibe coders15%
    88
    Pricing and free tier15%
    70
    Integrations and API10%
    68
    Momentum10%
    86
    Community sentiment5%
    84

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open Claude
  5. #5
    LlamaIndex

    RAG framework / parsing · role rank 1

    83

    75–91 · low confidence

    Framework plus LlamaParse.

    Goal fit25%
    88
    Output quality20%
    86
    Ease for vibe coders15%
    72
    Pricing and free tier15%
    82
    Integrations and API10%
    86
    Momentum10%
    80
    Community sentiment5%
    76

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open LlamaIndex
  6. #6
    ChatGPT

    Ready-made doc chat · role rank 3

    New tool

    82

    74–90 · low confidence

    Projects and file search.

    Goal fit25%
    84
    Output quality20%
    86
    Ease for vibe coders15%
    94
    Pricing and free tier15%
    72
    Integrations and API10%
    70
    Momentum10%
    80
    Community sentiment5%
    78

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open ChatGPT
  7. #7
    Gemini API

    LLM API · role rank 2

    New tool

    82

    74–90 · low confidence

    Long context.

    Goal fit25%
    86
    Output quality20%
    84
    Ease for vibe coders15%
    76
    Pricing and free tier15%
    78
    Integrations and API10%
    84
    Momentum10%
    82
    Community sentiment5%
    72

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open Gemini API
  8. #8
    OpenAI API

    LLM API · role rank 3

    New tool

    82

    74–90 · low confidence

    File search tool.

    Goal fit25%
    86
    Output quality20%
    88
    Ease for vibe coders15%
    76
    Pricing and free tier15%
    64
    Integrations and API10%
    94
    Momentum10%
    86
    Community sentiment5%
    74

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open OpenAI API
  9. #9
    Pinecone

    Vector store · role rank 2

    81

    73–89 · low confidence

    Managed, scales.

    Goal fit25%
    86
    Output quality20%
    86
    Ease for vibe coders15%
    82
    Pricing and free tier15%
    70
    Integrations and API10%
    88
    Momentum10%
    72
    Community sentiment5%
    76

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open Pinecone
  10. #10
    LangGraph

    RAG framework / parsing · role rank 2

    New tool

    80

    72–88 · low confidence

    When retrieval is one step in an agent.

    Goal fit25%
    76
    Output quality20%
    88
    Ease for vibe coders15%
    62
    Pricing and free tier15%
    90
    Integrations and API10%
    80
    Momentum10%
    84
    Community sentiment5%
    76

    No cited evidence stored. seed-v0-provisional. Not hands-on tested.

    Open LangGraph

Draft feature checklist

Goal fit is scored against these must-haves. The list is a draft rubric, not a test log.

Ready-made doc chat

  • Upload and ask
  • Citations

RAG framework / parsing

  • Parsing PDFs/tables
  • Chunking
  • Retrieval

Vector store

  • Hybrid search

LLM API

  • Grounded answers

Questions

Are these scores from hands-on tests?

No. Every score on this page is a provisional seed estimate with low confidence. The band around the number is a display convention, not a measured interval.

Can a paid listing change who is recommended?

No. Affiliate programs and sponsored cards are not inputs. A sponsored card, when one exists, is labeled and sits outside the ranking.

NEWSLETTER

The weekly AI stack drop

New tools worth your time, by use case. One email a week. A sponsor, when there is one, is labeled.

Tagged with this goal. Confirmation is required.